default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMachine Learning: Science and Technology, Volume 5
Volume 5, Number 1, March 2024
- Chibuike Chiedozie Ibebuchi
:
Redefining the North Atlantic Oscillation index generation using autoencoder neural network. 01 - Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha:
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art. 11001 - Felix Frohnert, Evert P. L. van Nieuwenburg:
Explainable representation learning of small quantum states. 15001 - Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner:
Neural network field theories: non-Gaussianity, actions, and locality. 15002 - John L. A. Gardner, Kathryn T. Baker, Volker L. Deringer:
Synthetic pre-training for neural-network interatomic potentials. 15003 - Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner:
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives. 15004 - Simone Manti, Alessandro Lucantonio:
Discovering interpretable physical models using symbolic regression and discrete exterior calculus. 15005 - Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld:
Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'. 15006 - Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib:
High-resolution imaging in acoustic microscopy using deep learning. 15007 - Niall Jeffrey, Benjamin D. Wandelt:
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. 15008 - Chibuike Chiedozie Ibebuchi, Omon A Obarein, Itohan-Osa Abu:
Application of autoencoders artificial neural network and principal component analysis for pattern extraction and spatial regionalization of global temperature data. 15009 - Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin, Yunsong Zhao:
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography. 15010 - Munir S. Pathan, S. M. Pradhan, T. Palani Selvam, B. K. Sapra:
A multi-stage machine learning algorithm for estimating personal dose equivalent using thermoluminescent dosimeter. 15011 - Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Deep kernel methods learn better: from cards to process optimization. 15012 - Yu Zhao, Xiaoyan Shen, Jiadong Chen, Wei Qian, He Ma, Liang Sang:
δARD loss for low-contrast medical image segmentation. 15013 - Jens Grauer, Fabian Jan Schwarzendahl, Hartmut Löwen, Benno Liebchen:
Optimizing collective behavior of communicating active particles with machine learning. 15014 - Raffaele Marino, Federico Ricci-Tersenghi:
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks. 15015 - Weizhong Fu, Weiluo Ren, Ji Chen:
Variance extrapolation method for neural-network variational Monte Carlo. 15016 - Cristiano Fanelli, James Giroux:
ELUQuant: event-level uncertainty quantification in deep inelastic scattering. 15017 - Marco Eckhoff, Markus Reiher:
CoRe optimizer: an all-in-one solution for machine learning. 15018 - Taesam Lee, Chang-Hee Won, Vijay P. Singh:
ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management. 15019 - Ali Al Kadhim, Harrison B. Prosper, Olivia F. Prosper:
Amortized simulation-based frequentist inference for tractable and intractable likelihoods. 15020 - Enes Ozelbas, Emine Elif Tülay, Serhat Ozekes:
Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework. 15021 - Yifan Wang, Yang Li, Jiaqi Wang, Haofeng Lv, Jinshi Guo:
Sparse optical flow outliers elimination method based on Borda stochastic neighborhood graph. 15022 - Rohan Yuri Sanspeur, John R. Kitchin:
Circumventing data imbalance in magnetic ground state data for magnetic moment predictions. 15023 - Jizhen Cai, Clotilde Boust, Alamin Mansouri:
ATSFCNN: a novel attention-based triple-stream fused CNN model for hyperspectral image classification. 15024 - Jia Li, Jiangwei Li, Chenxu Wang, Fons J. Verbeek, Tanja Schultz, Hui Liu:
MS2OD: outlier detection using minimum spanning tree and medoid selection. 15025 - A L. Milder, Archis S. Joglekar, Wojciech Rozmus, Dustin H. Froula:
Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion. 15026 - Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe, Alexey Nekrasov, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, Takashi Taniguchi, Bernd Beschoten, Lutz Waldecker, Christoph Stampfer:
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes. 15027 - Chad Bustard, John F. Wu:
Deep learning cosmic ray transport from density maps of simulated, turbulent gas. 15028 - Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn:
Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. 15029 - Jose Galarza, Tamer Oraby:
Functional data learning using convolutional neural networks. 15030 - Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, Suxing Hu, Qi Yu:
Deep energy-pressure regression for a thermodynamically consistent EOS model. 15031 - Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics informed token transformer for solving partial differential equations. 15032 - Yanyang Wang, Wei Li, Feiyi Liu, Jianmin Shen:
Supervised and unsupervised learning of (1+1) -dimensional even-offspring branching annihilating random walks. 15033 - Xueqin Sun, Yu Li, Yihong Li, Sukai Wang, Xuan Li, Ming Lu, Ping Chen:
Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network. 15034 - Viki Kumar Prasad, Alberto Otero-de-la-Roza, Gino Dilabio:
Bridging the gap between high-level quantum chemical methods and deep learning models. 15035 - Osvaldo Gramaxo Freitas, Juan Calderón Bustillo, José A. Font, Solange Nunes, António Onofre, Alejandro Torres-Forné:
Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. 15036 - Alex Gabel, Rick Quax, Efstratios Gavves:
Data-driven Lie point symmetry detection for continuous dynamical systems. 15037 - Mohammad Rezasefat, James D. Hogan:
Prediction of 4D stress field evolution around additive manufacturing-induced porosity through progressive deep-learning frameworks. 15038 - Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou:
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. 15039 - Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov:
Quantum machine learning for image classification. 15040 - Haiqi Dong, Amanda S. Barnard, Amanda J. Parker:
Online meta-learned gradient norms for active learning in science and technology. 15041 - Donya Khaledyan, Thomas J. Marini, Avice O'Connell, Steven Meng, Jonah Kan, Galen Brennan, Yu Zhao, Timothy M. Baran, Kevin J. Parker:
WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound. 15042 - Jessica Barr, Giorgio Zicari, Alessandro Ferraro, Mauro Paternostro:
Spectral density classification for environment spectroscopy. 15043 - Kishansingh Rajput, Malachi Schram, Willem Blokland, Yasir Alanazi, Pradeep Ramuhalli, Alexander Zhukov, Charles Peters, Ricardo Vilalta:
Robust errant beam prognostics with conditional modeling for particle accelerators. 15044 - Patrick Egenlauf, Patric Rommel, Jörg Main:
Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra. 15045 - He Wang, Yue Zhou, Zhoujian Cao, Zong-Kuan Guo, Zhixiang Ren:
WaveFormer: transformer-based denoising method for gravitational-wave data. 15046 - Dale L. Muccignat, Gregory G. Boyle, Nathan A Garland, Peter W. Stokes, Ronald D. White:
An iterative deep learning procedure for determining electron scattering cross-sections from transport coefficients. 15047 - Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding, Zheng Shan:
Transforming two-dimensional tensor networks into quantum circuits for supervised learning. 15048 - Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt:
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks. 15049
Volume 5, Number 2, 2024
- Omer Subasi, Sayan Ghosh, Joseph B. Manzano, Bruce Palmer, Andrés Márquez:
Analysis and Benchmarking of feature reduction for classification under computational constraints. 20501 - Emine Elif Tülay:
Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson's disease even being under medication. 25001 - Alistair Lawley, Rory Hampson, Kevin Worrall, Gordon Dobie:
Using positional tracking to improve abdominal ultrasound machine learning classification. 25002 - Elies Gil-Fuster, Jens Eisert, Vedran Dunjko:
On the expressivity of embedding quantum kernels. 25003 - Jorge Francisco García-Samartín, Christyan Cruz Ulloa, Jaime del Cerro, Antonio Barrientos:
Active robotic search for victims using ensemble deep learning techniques. 25004 - Yu Li, Xueqin Sun, Sukai Wang, Yingwei Qin, Jinxiao Pan, Ping Chen:
Generation model meets swin transformer for unsupervised low-dose CT reconstruction. 25005 - David Massegur, Andrea Da Ronch:
Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics. 25006 - Lukas Fuchs, Tom Kirstein, Christoph Mahr, Orkun Furat, Valentin Baric, Andreas Rosenauer, Lutz Mädler, Volker Schmidt:
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data. 25007 - Ronak Shoghi, Alexander Hartmaier:
A machine learning constitutive model for plasticity and strain hardening of polycrystalline metals based on data from micromechanical simulations. 25008 - Joshua Villarreal, Daniel Winklehner, Daniel Koser, Janet Marie Conrad:
Neural networks as effective surrogate models of radio-frequency quadrupole particle accelerator simulations. 25009 - Juan Viguera Diez, Sara Romeo Atance, Ola Engkvist, Simon Olsson:
Generation of conformational ensembles of small molecules via surrogate model-assisted molecular dynamics. 25010 - Qunlong Ma, Zhi Ma, Ming Gao:
A method for quantifying the generalization capabilities of generative models for solving Ising models. 25011 - Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao:
Differentiable simulation of a liquid argon time projection chamber. 25012 - Parag Jyoti Dutta, Xavier Emery:
Classifying rock types by geostatistics and random forests in tandem. 25013 - Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu:
GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravity. 25014 - Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach:
Transferring predictions of formation energy across lattices of increasing size. 25015 - Sousuke Okukawa, Kazuyuki Hara, Kinya Hibino, Yusaku Katayose, Kazumasa Kawata, Munehiro Ohnishi, Takashi Sako, Takashi K. Sako, Makio Shibata, Atsushi Shiomi, Masato Takita:
Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array. 25016 - Onno Huijgen, Luuk Coopmans, Peyman Najafi, Marcello Benedetti, Hilbert J. Kappen:
Training quantum Boltzmann machines with the β-variational quantum eigensolver. 25017 - Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi:
Generalization of graph-based active learning relaxation strategies across materials. 25018 - Marco Knipfer, Stefan Meier, Tobias Volk, Jonas Heimerl, Peter Hommelhoff, Sergei Gleyzer:
Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors. 25019 - Ryan Raikman, Eric A. Moreno, Ekaterina Govorkova, Ethan Marx, Alec Gunny, William Benoit, Deep Chatterjee, Rafia Omer, Muhammed Saleem, Dylan S. Rankin, Michael W. Coughlin, Philip C. Harris, Erik Katsavounidis:
GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders. 25020 - Nhat Khang Ngo, Truong Son Hy:
Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. 25021 - Yongtao Liu, Marti Checa, Rama K. Vasudevan:
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design *. 2 - Vincent Martinetto, Karan Shah, Attila Cangi, Aurora Pribram-Jones:
Inverting the Kohn-Sham equations with physics-informed machine learning. 15050 - Zhelun Zhang, Yi-Zhuang You:
Observing Schrödinger's cat with artificial intelligence: emergent classicality from information bottleneck. 15051 - Siwoo Lee, Stefan N. Heinen, Danish Khan, O. Anatole von Lilienfeld:
Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials. 15052 - Alireza Seif, Sarah A. M. Loos, Gennaro Tucci, Édgar Roldán, Sebastian Goldt:
The impact of memory on learning sequence-to-sequence tasks. 15053 - Vivin Vinod, Ulrich Kleinekathöfer, Peter Zaspel:
Optimized multifidelity machine learning for quantum chemistry. 15054 - André Eberhard, Houssam Metni, Georg Fahland, Alexander Stroh, Pascal Friederich:
Actively learning costly reward functions for reinforcement learning. 15055 - Faran Irshad, Stefan Karsch, Andreas Döpp:
Leveraging trust for joint multi-objective and multi-fidelity optimization. 15056 - Sebastián Roca-Jerat, Juan Román-Roche, David Zueco:
Qudit machine learning. 15057 - Junyu Liu, Zexi Lin, Liang Jiang:
Laziness, barren plateau, and noises in machine learning. 15058 - Yun-Wen Mao, Roman V. Krems:
Efficient interpolation of molecular properties across chemical compound space with low-dimensional descriptors. 15059 - J. J. García-Esteban, Juan Carlos Cuevas, Jorge Bravo-Abad:
Generative adversarial networks for data-scarce radiative heat transfer applications. 15060 - Thomas Penfold, Luke Watson, Clelia Middleton, Tudur David, Sneha Verma, Thomas Pope, Julia Kaczmarek, Conor Rankine:
Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy. 21001 - Oliver Anton, Victoria A. Henderson, Elisa Da Ros, Ivan Sekulic, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik:
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments. 25022 - Dominique F. Chu, Florian Bacho:
Random feedback alignment algorithms to train neural networks: why do they align? 25023 - Hao He, Kuaini Wang, Yuzhu Jiang, Huimin Pei:
Quadratic hyper-surface kernel-free large margin distribution machine-based regression and its least-square form. 25024 - Jaime Carracedo-Cosme, Prokop Hapala, Rubén Pérez:
Atomic force microscopy simulations for CO-functionalized tips with deep learning. 25025 - Ashtari Esfahani, Sebastian Böser, N. Buzinsky, M. C. Carmona-Benitez, R. Cervantes, C. Claessens, L. de Viveiros, M. Fertl, J. A. Formaggio, J. K. Gaison, Laura E. Gladstone, M. Grando, M. Guigue, J. Hartse, K. M. Heeger, X. Huyan, A. M. Jones, K. Kazkaz, M. Li, A. Lindman, Alexander Marsteller, C. Matthé, R. Mohiuddin, B. Monreal, E. C. Morrison, R. Mueller, J. A. Nikkel, E. Novitski, N. S. Oblath, J. I Peña, Walter Pettus, René Reimann, R. G. Hamish Robertson, L. Saldaña, Mark Schram Christensen, P. L. Slocum, J. Stachurska, Y.-H. Sun, P. T. Surukuchi, Arina Telles, F. Thomas, M. Thomas, Larisa A. Thorne, Thomas Thümmler, L. Tvrznikova, W. Van De Pontseele, B. A. Vandevender, T. E. Weiss, T. Wendler, E. Zayas, A. Ziegler:
Deep learning based event reconstruction for cyclotron radiation emission spectroscopy. 25026 - Shaoxun Fan, Andrew L. Hitt, Ming Tang, Babak Sadigh, Fei Zhou:
Accelerate microstructure evolution simulation using graph neural networks with adaptive spatiotemporal resolution. 25027 - Tahani Jaser Alahmadi, Atta Ur Rahman, Zaid Ali Alhababi, Sania Ali, Hend Khalid Alkahtani:
Prediction of mild cognitive impairment using EEG signal and BiLSTM network. 25028 - Leopoldo Sarra, Kevin Ellis, Florian Marquardt:
Discovering quantum circuit components with program synthesis. 25029 - Evan Askanazi, Ilya Grinberg:
Analysis of machine learning prediction reliability based on sampling distance evaluation with feature decorrelation. 25030 - Ihda Chaerony Siffa, Markus M. Becker, Klaus-Dieter Weltmann, Jan Trieschmann:
Towards a machine-learned Poisson solver for low-temperature plasma simulations in complex geometries. 25031 - Carlos Granero-Belinchón, Manuel Cabeza Gallucci:
A multiscale and multicriteria generative adversarial network to synthesize 1-dimensional turbulent fields. 25032 - Aritra Bal, T. Brandes, F. Iemmi, Markus Klute, Benedikt Maier, Vinicius Mikuni, Thea Klæboe Årrestad:
Distilling particle knowledge for fast reconstruction at high-energy physics experiments. 25033 - Daniele Soccodato, Gabriele Penazzi, Alessandro Pecchia, Anh-Luan Phan, Matthias Auf der Maur:
Machine learned environment-dependent corrections for a spds∗ empirical tight-binding basis. 25034 - Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales, José J. Orquín-Marqués, Narendra N. Hegade, Alejandro Gomez Cadavid, Iraitz Montalban, Enrique Solano, Yolanda Vives-Gilabert, José D. Martín-Guerrero:
Physics-informed neural networks for an optimal counterdiabatic quantum computation. 25035 - Leonardo Banchi:
Accuracy vs memory advantage in the quantum simulation of stochastic processes. 25036 - Cafer Tufan Cakir, Can Bogoclu, Franziska Emmerling, Christina Streli, Ana Guilherme Buzanich, Martin Radtke:
Machine learning for efficient grazing-exit x-ray absorption near edge structure spectroscopy analysis: Bayesian optimization approach. 25037 - Steven Dahdah, James Richard Forbes:
Closed-loop Koopman operator approximation. 25038 - Javier E. Santos, Agnese Marcato, Qinjun Kang, Mohamed Mehana, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers:
Learning a general model of single phase flow in complex 3D porous media. 25039 - Shahin Alipour Bonab, Giacomo Russo, Antonio Morandi, Mohammad Yazdani-Asrami:
A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes. 25040 - Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Exploiting data diversity in multi-domain federated learning. 25041 - Amanda A. Howard, Yucheng Fu, Panos Stinis:
A multifidelity approach to continual learning for physical systems. 25042 - Johannes Sandberg, Thomas Voigtmann, Emilie Devijver, Noël Jakse:
Feature selection for high-dimensional neural network potentials with the adaptive group lasso. 25043 - Zimu Li, Zihan Pengmei, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor:
Unifying O(3) equivariant neural networks design with tensor-network formalism. 25044 - Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov:
Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. 25045 - Chibuike Chiedozie Ibebuchi, Itohan-Osa Abu:
Interpolation of environmental data using deep learning and model inference. 25046 - Pengju Lyu, Wenjian Liu, Tingyi Lin, Jie Zhang, Yao Liu, Cheng Wang, Jianjun Zhu:
Semi-supervised segmentation of abdominal organs and liver tumor: uncertainty rectified curriculum labeling meets X-fuse. 25047 - Diogo D. Carvalho, Diogo R. Ferreira, Luis O. Silva:
Learning the dynamics of a one-dimensional plasma model with graph neural networks. 25048 - Harvey Cao, Dimitris G. Angelakis, Daniel Leykam:
Unsupervised learning of quantum many-body scars using intrinsic dimension. 25049 - Max Klein, Niklas Dormagen, C. Dietz, Markus H. Thoma, Mike Schwarz:
Enhancing particle string detection in electrorheological plasmas using asymmetrical kernel convolutional networks. 25050 - Cameron J. LaMack, Eric M. Schearer:
Global system errors to simultaneously improve the identification of subsystems with mixed data Gaussian process regression. 25051 - Aya Messai, Ahlem Drif, Amel Ouyahia, Meriem Guechi, Mounira Rais, Lars Kaderali, Hocine Cherifi:
Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases. 25052 - Kevin Zeng, Carlos E. Pérez De Jesús, Andrew J. Fox, Michael D. Graham:
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems. 25053 - Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh:
Transformer-powered surrogates close the ICF simulation-experiment gap with extremely limited data. 25054 - Antonii Belyshev, Alexander Kovrigin, Andrey Ustyuzhanin:
Beyond dynamics: learning to discover conservation principles. 25055 - Minyang Tian, Eliu A. Huerta, Huihuo Zheng, Prayush Kumar:
Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers. 25056 - Charles Fox, Neil Tran, Nikki Nacion, Samiha Sharlin, Tyler R. Josephson:
Incorporating background knowledge in symbolic regression using a computer algebra system. 25057 - Stefan N. Heinen, Danish Khan, Guido Falk von Rudorff, Konstantin Karandashev, Daniel J. Arismendi-Arrieta, Alastair J. A. Price, Surajit Nandi, Arghya Bhowmik, Kersti Hermansson, O. Anatole von Lilienfeld:
Reducing training data needs with minimal multilevel machine learning (M3L). 25058 - Anjana S. Desai, Anindita Bandopadhyaya, Aparna Ashok, Maneesha, Neeru Bhagat:
Decoding characteristics of key physical properties in silver nanoparticles by attaining centroids for cytotoxicity prediction through data cleansing. 25059 - Jonathan Kipp, Fabian R. Lux, Thorben Pürling, Abigail Morrison, Stefan Blügel, Daniele Pinna, Yuriy Mokrousov:
Machine learning inspired models for Hall effects in non-collinear magnets. 25060 - Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti:
The twin peaks of learning neural networks. 25061 - Hoang-Quan Nguyen, Ba-Anh Le, Bao-Viet Tran, Thai-Son Vu, Thi-Loan Bui:
Deep artificial neural network-powered phase field model for predicting damage characteristic in brittle composite under varying configurations. 25062 - Dibyakanti Kumar, Anirbit Mukherjee:
Investigating the ability of PINNs to solve Burgers' PDE near finite-time blowup. 25063 - J. Fuksa, Michael Götte, Ingo Roth, Jens Eisert:
A quantum inspired approach to learning dynamical laws from data - block-sparsity and gauge-mediated weight sharing. 25064 - Assaf Shmuel, Oren Glickman, Teddy Lazebnik:
Symbolic regression as a feature engineering method for machine and deep learning regression tasks. 25065 - Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov, Markus Schmitt:
Reinforcement learning pulses for transmon qubit entangling gates. 25066 - Kyungmin Lee, Hyungjun Jeon, Dongkyu Lee, Bongsang Kim, Jeongho Bang, Taehyun Kim:
Interpreting variational quantum models with active paths in parameterized quantum circuits. 25067 - Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed Elhelw:
STG-MTL: scalable task grouping for multi-task learning using data maps. 25068 - Kevin Otto, Simon Burgis, Kristian Kersting, Reinhold Bertrand, Devendra Singh Dhami:
Machine learning meets Kepler: inverting Kepler's equation for All vs All conjunction analysis. 25069 - Agnese Marcato, Eric Guiltinan, Hari S. Viswanathan, Daniel O'Malley, Nicholas Lubbers, Javier E. Santos:
Journey over destination: dynamic sensor placement enhances generalization. 25070 - Federico Zipoli, Zeineb Ayadi, Philippe Schwaller, Teodoro Laino, Alain C. Vaucher:
Completion of partial chemical equations. 25071 - José Luis Crespo, Javier González-Villa, Jaime Gutierrez, Angel Valle:
Assessing the quality of random number generators through neural networks. 25072 - Woo Seok Lee, Taegeun Song, Kyoung-Min Kim:
Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets. 25073 - Indaco Biazzo, Dian Wu, Giuseppe Carleo:
Sparse autoregressive neural networks for classical spin systems. 25074 - Matthias Vigl, Nicole Hartman, Lukas Heinrich:
Finetuning foundation models for joint analysis optimization in High Energy Physics. 25075 - Alexander Luce, Rasoul Alaee, Fabian Knorr, Florian Marquardt:
Merging automatic differentiation and the adjoint method for photonic inverse design. 25076 - Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B. Jiang:
Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy. 25077 - Enrico Ventura, Simona Cocco, Rémi Monasson, Francesco Zamponi:
Unlearning regularization for Boltzmann machines. 25078 - Koji Hashimoto, Yuji Hirono, Akiyoshi Sannai:
Unification of symmetries inside neural networks: transformer, feedforward and neural ODE. 25079 - Rui Liu, Lisheng Wei, Pinggai Zhang:
An adaptive particle swarm optimization with information interaction mechanism. 25080 - Atsarina Larasati Anindya, Torbjörn Nur Olsson, Maja Jensen, Maria-Jose Garcia-Bonete, Sally P. Wheatley, Maria I Bokarewa, Stefano A. Mezzasalma, Gergely Katona:
Deciphering peptide-protein interactions via composition-based prediction: a case study with survivin/BIRC5. 25081 - Kritesh Kumar Gupta, Subrata Barman, Sudip Dey, Tanmoy Mukhopadhyay:
Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys. 25082 - Anirudh Srikanth, Carlotta Trigila, Emilie Roncali:
GPU optimization techniques to accelerate optiGAN - a particle simulation GAN. 27001
Volume 5, Number 3, 2024
- Wojciech G. Stark, Cas van der Oord, Ilyes Batatia, Yaolong Zhang, Bin Jiang, Gábor Csányi, Reinhard Johann Maurer:
Benchmarking of machine learning interatomic potentials for reactive hydrogen dynamics at metal surfaces. 30501 - Sasaank Bandi, Chao Jiang, Chris A. Marianetti:
Benchmarking machine learning interatomic potentials via phonon anharmonicity. 30502 - Joan Garriga, Frederic Bartumeus:
Towards a comprehensive visualisation of structure in large scale data sets. 30503 - Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei:
Impact of data bias on machine learning for crystal compound synthesizability predictions. 40501 - Cheng-Hong Yang, Tin-Ho Cheung, Li-Yeh Chuang:
Application of deep learning-based fuzzy systems to analyze the overall risk of mortality in glioblastoma multiforme. 45010 - Sebastian Bieringer, Sascha Diefenbacher, Gregor Kasieczka, Mathias Trabs:
Calibrating Bayesian generative machine learning for Bayesiamplification. 45044 - Maximilian Schebek, Michele Invernizzi, Frank Noé, Jutta Rogal:
Efficient mapping of phase diagrams with conditional Boltzmann Generators. 45045 - Moshir Harsh, Leonhard Götz Vulpius, Peter Sollich:
Physics-inspired machine learning detects 'unknown unknowns' in networks: discovering network boundaries from observable dynamics. 45046 - Binren Wang, Minmin Miao, Ke Zhang, Wenzhe Liu, Zhenzhen Sheng, Baoguo Xu, Wenjun Hu:
MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding. 45047 - Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof:
Machine learning visualization tool for exploring parameterized hydrodynamics *. 45048 - Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci, Luigi Giannelli:
Noise classification in three-level quantum networks by Machine Learning. 45049 - Adrien Teurtrie, Nathanaël Perraudin, Thomas Holvoet, Hui Chen, Duncan T. L. Alexander, Guillaume Obozinski, Cécile Hébert:
From STEM-EDXS data to phase separation and quantification using physics-guided NMF. 45050 - Ryan Jacobs, Lane E. Schultz, Aristana Scourtas, K. J. Schmidt, Owen Price Skelly, Will Engler, Ian T. Foster, Ben Blaiszik, Paul M. Voyles, Dane Morgan:
Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility. 45051 - Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou:
An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. 45052 - Bálint Máté, François Fleuret:
Multi-lattice sampling of quantum field theories via neural operator-based flows. 45053 - Jian Zhu, Peicheng Feng, Jiawei Lu, Bowei Fang, Hesong Yang:
ZeROf-Offload: forward-gradient scheme for efficient full parameter fine-tuning of billion-scale language models. 45054 - Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber:
Paired autoencoders for likelihood-free estimation in inverse problems. 45055 - Jelena Pejic, Marko Petkovic, Sandra Klinge:
Exploring spatial reasoning performances of CNN on linear layout dataset. 45056 - Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh, Lan Nguyen Tran, Le Bin Ho:
Multi-target quantum compilation algorithm. 45057 - Stefan Hildebrand, Sandra Klinge:
Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with neural networks. 45058 - Frederik Ø Kjeldal, Janus Juul Eriksen:
Transferability of atom-based neural networks. 45059 - Amanda S. Barnard:
Inverse prediction of Al alloy post-processing conditions using classification with guided oversampling. 45060 - Jessica Craven, Mark Hughes, Vishnu Jejjala, Arjun Kar:
Illuminating new and known relations between knot invariants. 45061 - Can Polat, Mustafa Kurban, Hasan Kurban:
Multimodal neural network-based predictive modeling of nanoparticle properties from pure compounds. 45062 - Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin, Aditya Kashi, Wesley H. Brewer, James J. Riley, Stephen M. de Bruyn Kops:
Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of deep time-series models. 45063 - Xiaoyu Huang, Feixiang Zhang, Yong Huang, Kai Xu:
CSS-Net: a collaborative framework for synthesis and segmentation of missing contrast-enhanced image with error-prediction consistency. 45064 - Brian Qu, Panagiotis Christakopoulos, Hanyu Wang, Jong Keum, Polyxeni P. Angelopoulou, Peter V. Bonnesen, Kunlun Hong, Mathieu Doucet, James F. Browning, Miguel Fuentes-Cabrera, Rajeev Kumar:
Learning continuous scattering length density profiles from neutron reflectivities using convolutional neural networks*. 45065 - Daniel Andrade:
Stabilizing training of affine coupling layers for high-dimensional variational inference. 45066 - Jialin Song, Zezheng Song, Pu Ren, N. Benjamin Erichson, Michael W. Mahoney, Xiaoye S. Li:
Forecasting high-dimensional spatio-temporal systems from sparse measurements. 45067 - Kai Yi, Yanan Fan, Jan Hamann, Pietro Liò, Yu Guang Wang:
AB C MB : deep delensing assisted likelihood-free inference from CMB polarization maps. 45068 - Gemma Zhang, Thomas Helfer, Alexander T. Gagliano, Siddharth Mishra-Sharma, V. Ashley Villar:
Maven: a multimodal foundation model for supernova science. 45069 - Xuping Xie, Qi Tang, Xianzhu Tang:
Latent space dynamics learning for stiff collisional-radiative models. 45070 - Tareq Jaouni, Francesco Di Colandrea, Lorenzo Amato, Filippo Cardano, Ebrahim Karimi:
Process tomography of structured optical gates with convolutional neural networks. 45071 - Yonghyun Lee, Eunchan Kim, Jiwoong Choi, Changhyun Lee:
SICGNN: structurally informed convolutional graph neural networks for protein classification. 45072 - Braden Kronheim, Ali Al Kadhim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan:
Implicit quantile networks for emulation in jet physics. 45073 - Wallace Jaffray, Ziheng Guo, Andrea Di Falco, Marcello Ferrera:
Machine-learning-assisted dual harmonic generation FROG for enhanced ultrafast pulse recovery. 45074 - Jie Zhao, Biwei Xie, Xingquan Li:
QR-DeepONet: resolve abnormal convergence issue in deep operator network. 45075 - Jiawei Zang, Matija Medvidovic, Dominik Kiese, Domenico Di Sante, Anirvan M. Sengupta, Andrew J. Millis:
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function. 45076 - Y. Sultan Abylkairov, Matthew C. Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev, Ernazar Abdikamalov:
Evaluating machine learning models for supernova gravitational wave signal classification. 45077 - Assaf Shmuel, Oren Glickman, Teddy Lazebnik:
Machine and deep learning performance in out-of-distribution regressions. 45078 - Vuong Van Pham, Temoor Muther, Amirmasoud Kalantari Dahaghi:
Neuromorphic, physics-informed spiking neural network for molecular dynamics. 45079 - Ralf Meyer, Daniel B. K. Chu, Heather J. Kulik:
Many-body expansion based machine learning models for octahedral transition metal complexes. 45080 - Isaiah A. Moses, Wesley F. Reinhart:
Transfer learning for multi-material classification of transition metal dichalcogenides with atomic force microscopy. 45081 - Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl:
Mixed noise and posterior estimation with conditional deepGEM. 35001 - Giles C. Strong, Maxime Lagrange, Aitor Orio, Anna Bordignon, Florian Bury, Tommaso Dorigo, Andrea Giammanco, Mariam Heikal, Jan Kieseler, Max Lamparth, Pablo Martínez Ruíz del Árbol, Federico Nardi, Pietro Vischia, Haitham Zaraket:
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. 35002 - Shailesh Lal, Suvajit Majumder, Evgeny Sobko:
The R-mAtrIx Net. 35003 - Mohammad Sharifi Ghazijahani, Christian Cierpka:
On the prediction of the turbulent flow behind cylinder arrays via echo state networks. 35005 - Matthias Kellner, Michele Ceriotti:
Uncertainty quantification by direct propagation of shallow ensembles. 35006 - Carlo Abate, Sergio Decherchi, Andrea Cavalli:
AMCG: a graph dual atomic-molecular conditional molecular generator. 35004 - Francesco Vaselli, Filippo Cattafesta, Patrick Asenov, Andrea Rizzi:
End-to-end simulation of particle physics events with flow matching and generator oversampling. 35007 - Thang M. Pham, Nam Do, Ha T. T. Pham, Hanh T. Bui, Thang T. Do, Van Manh Hoang:
CResU-Net: a method for landslide mapping using deep learning. 35008 - Majd Ghrear, Peter Sadowski, Sven E. Vahsen:
Deep probabilistic direction prediction in 3D with applications to directional dark matter detectors. 35009 - Vasilis Belis, Patrick Odagiu, Michele Grossi, Florentin Reiter, Günther Dissertori, Sofia Vallecorsa:
Guided quantum compression for high dimensional data classification. 35010 - Mohammad H. Alshayeji:
Alzheimer's disease detection and stage identification from magnetic resonance brain images using vision transformer. 35011 - Kevin Gill, David R. Smith, Semin Joung, Benedikt Geiger, George McKee, J. Zimmerman, Ryan N. Coffee, Azarakhsh Jalalvand, Egemen Kolemen:
Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements. 35012 - M. R. Mahani, Igor A. Nechepurenko, Yasmin Rahimof, Andreas Wicht:
Optimizing data acquisition: a Bayesian approach for efficient machine learning model training. 35013 - Gabriele Lo Monaco, Marco Bertini, Salvatore Lorenzo, G. Massimo Palma:
Quantum extreme learning of molecular potential energy surfaces and force fields. 35014 - Emanuele Costa, Giuseppe Scriva, Sebastiano Pilati:
Solving deep-learning density functional theory via variational autoencoders. 35015 - Priyanka Gupta, Manik Gupta, Vijay Kumar:
An active learning enhanced data programming (ActDP) framework for ECG time series. 35016 - Patrick Odagiu, Zhiqiang Que, Javier M. Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander D. Tapper, Thea Klæboe Årrestad:
Ultrafast jet classification at the HL-LHC. 35017 - Jian-Gang Kong, Ke-Lin Zhao, Jian Li, Qing-Xu Li, Yu Liu, Rui Zhang, Jia-Ji Zhu, Kai Chang:
Self-supervised representations and node embedding graph neural networks for accurate and multi-scale analysis of materials. 35018 - Meysam Hashemi, Abolfazl Ziaeemehr, Michael Marmaduke Woodman, Jan Fousek, Spase Petkoski, Viktor K. Jirsa:
Simulation-based inference on virtual brain models of disorders. 35019 - Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M. Oguzhan Külekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet M. Dalkilic:
An extended de Bruijn graph for feature engineering over biological sequential data. 35020 - Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls:
Causal hybrid modeling with double machine learning - applications in carbon flux modeling. 35021 - Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini:
Retrieving past quantum features with deep hybrid classical-quantum reservoir computing. 35022 - Peng Zhou, Shengxiu Jiao, Xiaoqian Zhao, Shuzhan Yao, Honghao Xu, Chuan Chen:
Proton dose deposition matrix prediction using multi-source feature driven deep learning approach. 35023 - Alessandro Bombini, Fernando García-Avello Bofías, Caterina Bracci, Michele Ginolfi, Chiara Ruberto:
Datacube segmentation via deep spectral clustering. 35024 - Maximilian P. Niroomand, Luke Dicks, Edward O. Pyzer-Knapp, David J. Wales:
Explainable Gaussian processes: a loss landscape perspective. 35025 - Xiaofei Guan, Xintong Wang, Hao Wu, Zihao Yang, Peng Yu:
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. 35026 - Edoardo Fazzari, Hudson A Loughlin, Chris Stoughton:
Controlling optical-cavity locking using reinforcement learning. 35027 - Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi:
Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation. 35028 - Juan Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht:
Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness. 35029 - Seohee Jang, Mohammad Jadidi, Saleh Rezaeiravesh, Alistair J. Revell, Yasser Mahmoudi:
Physics-informed neural network for turbulent flow reconstruction in composite porous-fluid systems. 35030 - Joschka Birk, Anna Hallin, Gregor Kasieczka:
OmniJet-α: the first cross-task foundation model for particle physics. 35031 - Gábor Galgóczi, Gábor Albrecht, Gergo Hamar, Dezso Varga:
Background suppression for volcano muography with machine learning. 35032 - Xiaobo Zhu, Yan Wu, Jin Che, Chao Wang, Liying Wang, Zhanheng Chen:
Multi-perspective feedback-attention coupling model for continuous-time dynamic graphs. 35033 - Barak Hadad, Omry Oren, Alon Bahabad:
On the benefit of attention in inverse design of thin films filters. 35034 - Tracey Oellerich, Maria Emelianenko:
Towards robust data-driven automated recovery of symbolic conservation laws from limited data. 35035 - Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner:
Coincident learning for unsupervised anomaly detection of scientific instruments. 35036 - André Sequeira, Luís Paulo Santos, Luís Soares Barbosa:
Trainability issues in quantum policy gradients. 35037 - Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas W. A. Gebauer:
Molecular relaxation by reverse diffusion with time step prediction. 35038 - Aniwat Kesorn, Rutchapon Hunkao, Cheewawut Na Talang, Chanaprom Cholsuk, Asawin Sinsarp, Tobias Vogl, Sujin Suwanna, Suraphong Yuma:
Formation energy prediction of neutral single-atom impurities in 2D materials using tree-based machine learning. 35039 - Raül Fabra-Boluda, Cèsar Ferri, María José Ramírez-Quintana, Fernando Martínez-Plumed:
Unveiling the robustness of machine learning families. 35040 - Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso:
Transfer learning with generative models for object detection on limited datasets. 35041 - Sangwon Kim, Byoung Chul Ko:
Concept graph embedding models for enhanced accuracy and interpretability. 35042 - Jonas Elsborg, Arghya Bhowmik:
ArtiSAN: navigating the complexity of material structures with deep reinforcement learning. 35043 - Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data. 35044 - Philipp Schmidt, Sören Arlt, Carlos Ruiz-Gonzalez, Xuemei Gu, Carla Rodríguez, Mario Krenn:
Virtual reality for understanding artificial-intelligence-driven scientific discovery with an application in quantum optics. 35045 - Weizhen Li, Rui Carvalho:
Automating the discovery of partial differential equations in dynamical systems. 35046 - Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri Dipetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R. Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S. Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron R. Young:
Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning. 35047 - Inbar Seroussi, Asaf Miron, Zohar Ringel:
Spectral-bias and kernel-task alignment in physically informed neural networks. 35048 - Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan:
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks. 35049 - Finn H. O'Shea, Semin Joung, David R. Smith, Daniel Ratner, Ryan N. Coffee:
Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset. 35050 - ATLAS Collaboration:
Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network. 35051 - Hyeondo Oh, Daniel K. Park:
Quantum support vector data description for anomaly detection. 35052 - Gerhard Jung, Giulio Biroli, Ludovic Berthier:
Normalizing flows as an enhanced sampling method for atomistic supercooled liquids. 35053 - Samuel Tovey, Christoph Lohrmann, Christian Holm:
Emergence of chemotactic strategies with multi-agent reinforcement learning. 35054 - Mingyan Sun, Peng Xu, Jun-Jie Zhang, Tai-Jiao Du, Jianguo Wang:
JefiAtten: an attention-based neural network model for solving Maxwell's equations with charge and current sources. 35055 - Zachary R. Fox, Ayana Ghosh:
Active causal learning for decoding chemical complexities with targeted interventions. 35056 - Borja Bayón-Buján, Mario Merino:
Data-driven sparse modeling of oscillations in plasma space propulsion. 35057 - Lina Jaurigue:
Chaotic attractor reconstruction using small reservoirs - the influence of topology. 35058 - Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa:
Identifying chaotic dynamics in noisy time series through multimodal deep neural networks. 35059 - Yucheol Cho, Guenseok Choi, Gyeongdo Ham, Mincheol Shin, Daeshik Kim:
SemiH: DFT Hamiltonian neural network training with semi-supervised learning. 35060 - Alexandre de Camargo, Ricky T. Q. Chen, Rodrigo A. Vargas-Hernández:
Leveraging normalizing flows for orbital-free density functional theory. 35061 - Toni Zimmermann, Florian Sammüller, Sophie Hermann, Matthias Schmidt, Daniel de las Heras:
Neural force functional for non-equilibrium many-body colloidal systems. 35062 - Jaekak Yoo, Jae Won Choi, Eunha Kim, Eun-Jung Park, Ahruem Baek, Jaeseok Kim, Mun Seok Jeong, Youngwoo Cho, Tae Geol Lee, Min Beom Heo:
Evaluating cell growth and hypoxic regions of 3D spheroids via a machine learning approach. 35063 - Luca Anzalone, Simranjit Singh Chhibra, Benedikt Maier, Nadezda Chernyavskaya, Maurizio Pierini:
Triggering dark showers with conditional dual auto-encoders. 35064 - Yaoqi Hou, Qingtian Zhang, Namin Wang, Huaqiang Wu:
Improving model robustness to weight noise via consistency regularization. 35065 - Will Newman, Jamshid Ghaboussi, Michael F. Insana:
Regulating the development of accurate data-driven physics-informed deformation models. 35066 - Delchere Don-tsa, Messanh Agbeko Mohou, Kossi Amouzouvi, Malik Maaza, Katawoura Beltako:
Predictive models for inorganic materials thermoelectric properties with machine learning. 35067 - Aiden R. Rosebush, Alexander Greenwood, Brian T. Kirby, Li Qian:
An exponential reduction in training data sizes for machine learning derived entanglement witnesses. 35068 - Jinyang Sun, Xi Chen, Xiumei Wang, Dandan Zhu, Xingping Zhou:
Photonic modes prediction via multi-modal diffusion model. 35069 - Xiaodong Ding, Jinchen Xu, Zhihui Song, Yifan Hou, Zheng Shan:
Designing quantum multi-category classifier from the perspective of brain processing information. 35070 - Lei Tang, Feng Liu, Anping Wu, Yubo Li, Wanqiu Jiang, Qingfeng Wang, Jun Huang:
A combined modeling method for complex multi-fidelity data fusion. 35071 - Yihang Chen, Wenbin Li:
Learning on the correctness class for domain inverse problems of gravimetry. 35072 - Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon:
Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N = 4 super Yang-Mills theory. 35073 - Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine:
Masked particle modeling on sets: towards self-supervised high energy physics foundation models. 35074 - Max Hodapp, Alexander V. Shapeev:
Equivariant tensor network potentials. 35075 - Pranath Reddy, Michael W. Toomey, Hanna Parul, Sergei Gleyzer:
DiffLense: a conditional diffusion model for super-resolution of gravitational lensing data. 35076 - Maximilian Nägele, Florian Marquardt:
Optimizing ZX-diagrams with deep reinforcement learning. 35077 - Md Monibor Rahman, Adam Carpenter, Khan M. Iftekharuddin, Chris Tennant:
Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. 35078 - Péter Kovács, Esther Heid, Jasper De Landsheere, Georg K. H. Madsen:
LoGAN: local generative adversarial network for novel structure prediction. 35079 - Yaokun Su, Chen Li:
Uncovering obscured phonon dynamics from powder inelastic neutron scattering using machine learning. 35080 - Xuyang Guo, Jun Dai, Roman V. Krems:
Benchmarking of quantum fidelity kernels for Gaussian process regression. 35081 - Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran:
Robust anomaly detection for particle physics using multi-background representation learning. 35082 - Markus J. Buehler:
Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning. 35083 - Xin An, Lingfang Li, Xue Yang, Ming-Xing Luo:
Portable network resolving huge-graph isomorphism problem. 35084 - Xuxiang Sun, Yilang Liu, Weiwei Zhang, Yongzhong Wang, Jingyuan Zou, Zhengrong Han, Yun Su:
Development and deployment of data-driven turbulence model for three-dimensional complex configurations. 35085 - Jeneessha P, Balasubramanian Vinoth Kumar, M. Murugappan:
WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification. 35086 - Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli:
Stable attractors for neural networks classification via ordinary differential equations (SA-nODE). 35087
Volume 5, Number 4, 2024
- Marcel F. Langer, Sergey N. Pozdnyakov, Michele Ceriotti:
Probing the effects of broken symmetries in machine learning. 04 - Arif Ullah, Yuxinxin Chen, Pavlo O. Dral:
Molecular quantum chemical data sets and databases for machine learning potentials. 41001 - Hwi Lee, Zhen Chao, Harris Cobb, Yingjie Liu, Dexuan Xie:
A PNP ion channel deep learning solver with local neural network and finite element input data. 45001 - Francesco Carnazza, Federico Carollo, Sabine Andergassen, Georg Martius, Miriam Klopotek, Igor Lesanovsky:
Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium. 45002 - Aleksas Vaitulevicius, Jolita Bernataviciene, Jurgita Markeviciute, Ieva Naruseviciute, Mantas Trakymas, Povilas Treigys:
Advancements in prostate zone segmentation: integrating attention mechanisms into the nnU-Net framework. 45003 - Karim Hossny, Mohammed Hossny, Antony Cougnoux, Loay Mahmoud, Walter Villanueva:
Decision tree insights analytics (DTIA) tool: an analytic framework to identify insights from large data records across fields of science. 45004 - Vivin Vinod, Peter Zaspel:
Assessing non-nested configurations of multifidelity machine learning for quantum-chemical properties. 45005 - Niklas Dormagen, Max Klein, Andreas S. Schmitz, Lukas Wimmer, Markus H. Thoma, Mike Schwarz:
Local classification of crystalline structures in complex plasmas using a PointNet. 45006 - A Kedharnath, Rajeev Kapoor, Apu Sarkar:
Prediction of flow stress of Ta-W alloys using machine learning. 45007 - Raheem Karim Hashmani, Emre Akbas, Melahat Bilge Demirköz:
A comparison of deep learning models for proton background rejection with the AMS electromagnetic calorimeter. 45008 - Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave:
Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. 45009 - Stefan Meinecke, Malte Selig, Felix Köster, Andreas Knorr, Kathy Lüdge:
Data-driven acceleration of multi-physics simulations. 45011 - Samuel T. Wauthier, Tim Verbelen, Bart Dhoedt, Bram Vanhecke:
Planning with tensor networks based on active inference. 45012 - Shunyu Yan, Austen Maniscalco, Biling Wang, Dan Nguyen, Steve B. Jiang, Chenyang Shen:
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. 45013 - Ayana Ghosh, Saurabh Ghosh:
Mapping causal pathways with structural modes fingerprint for perovskite oxides. 45014 - Kislaya Ravi, Vladyslav Fediukov, Felix Dietrich, Tobias Neckel, Fabian Buse, Michael Bergmann, Hans-Joachim Bungartz:
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. 45015 - Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci:
IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer's disease markers. 45016 - Daniele Lanzoni, Andrea Fantasia, Roberto Bergamaschini, Olivier Pierre-Louis, Francesco Montalenti:
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired neural networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow. 45017 - Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli:
A prediction rigidity formalism for low-cost uncertainties in trained neural networks. 45018 - Antoine Loew, Haichen Wang, Tiago F. T. Cerqueira, Miguel A. L. Marques:
Training machine learning interatomic potentials for accurate phonon properties. 45019 - James Halverson, Fabian Ruehle:
Metric flows with neural networks. 45020 - Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren:
Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses. 45021 - Alfredo Bellisario, Tomas Ekeberg:
Deep learning phase retrieval in x-ray single-particle imaging for biological macromolecules. 45022 - Susmita Tripathy, Surajit Das, Shweta Jindal, Raghunathan Ramakrishnan:
Chemical space-informed machine learning models for rapid predictions of x-ray photoelectron spectra of organic molecules. 45023 - Hanbeen Jung, Chaebeom Yeo, Eunsil Jang, Yeonhee Chang, Cheol Song:
Machine-learning-based diabetes classification method using blood flow oscillations and Pearson correlation analysis of feature importance. 45024 - Thang M. Pham, Nam Do, Thi Hanh Bui, Van Manh Hoang:
Enhanced deep learning-based water area segmentation for flood detection and monitoring. 45025 - Mingyu Wang, Jianping Li:
Exploring the potential of contemporary deep learning methods in purifying polluted information. 45026 - Juan Yao:
Quantum state reconstruction via disentanglement with sequential optimization algorithm. 45027 - Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang:
PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction. 45028 - Mads-Peter V. Christiansen, Nikolaj Rønne, Bjørk Hammer:
Efficient ensemble uncertainty estimation in Gaussian processes regression. 45029 - Deep Chatterjee, Ethan Marx, William Benoit, Ravi Kumar, Malina Desai, Ekaterina Govorkova, Alec Gunny, Eric A. Moreno, Rafia Omer, Ryan Raikman, Muhammed Saleem, Shrey Aggarwal, Michael Coughlin, Philip C. Harris, Erik Katsavounidis:
Rapid likelihood free inference of compact binary coalescences using accelerated hardware. 45030 - Alex K. Chew, Mohammad Atif Faiz Afzal, Anand Chandrasekaran, Jan Henk Kamps, Vaidya Ramakrishnan:
Designing the next generation of polymers with machine learning and physics-based models. 45031 - Imran Khan, Abdul Khalique Shaikh, Naresh Adhikari:
Large-scale gene expression data clustering through incremental ensemble approach. 45032 - Blaine Quackenbush, Paul J. Atzberger:
Geometric neural operators (gnps) for data-driven deep learning in non-euclidean settings. 45033 - Victor Yon, Bastien Galaup, Claude Rohrbacher, Joffrey Rivard, Clement Godfrin, Ruoyu Li, Stefan Kubicek, Kristiaan De Greve, Louis Gaudreau, Eva Dupont-Ferrier, Yann Beilliard, Roger G. Melko, Dominique Drouin:
Robust quantum dots charge autotuning using neural network uncertainty. 45034 - Amandeep Singh Bhatia, David E. Bernal Neira:
Federated learning with tensor networks: a quantum AI framework for healthcare. 45035 - Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee:
Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks*. 45036 - Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Vincenzo Lordi, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham:
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models. 45037 - Shi Yin, Xinyang Pan, Xudong Zhu, Tianyu Gao, Haochong Zhang, Feng Wu, Lixin He:
Towards harmonization of SO(3)-equivariance and expressiveness: a hybrid deep learning framework for electronic-structure Hamiltonian prediction. 45038 - Koji Hashimoto, Yuji Hirono, Jun Maeda, Jojiro Totsuka-Yoshinaka:
Neural network representation of quantum systems. 45039 - Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-E. Qiang, Ziren Luo:
Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows. 45040 - Mohammad Mehdi Rahimifar, Quentin Wingering, Berthié Gouin-Ferland, Ryan Coffee, Audrey C. Therrien:
Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II. 45041 - Nathalie Soybelman, Carlo Schiavi, Francesco Armando Di Bello, Eilam Gross:
Accelerating graph-based tracking tasks with symbolic regression. 45042 - Kazuki Sakai, Sodtavilan Odonchimed, Mitsuki Takano, Hirotaka Takahashi:
Automated design of digital filters using convolutional neural networks for extracting ringdown gravitational waves. 45043
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-07-15 00:52 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
