Detecting Stable Cross-Impact Patterns in Bivariate Time Series.

Maram Akila

Gennady L. Andrienko Natalia V. Andrienko Maram Akila Bahavathy Kathirgamanathan Miguel Ponce de Leon Detecting Stable Cross-Impact Patterns in Bivariate Time Series. 2026 July 5996-6013 32 IEEE Trans. Vis. Comput. Graph. 7 https://doi.org/10.1109/TVCG.2026.3676810 db/journals/tvcg/tvcg32.html#AndrienkoAAKL26 streams/journals/tvcg

Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=yK9pvt4nBX db/journals/tmlr/tmlr2025.html#GannamaneniRMAW25 streams/journals/tmlr

Maximilian Pintz Anna Schmitz 0001 Rebekka Görge Sebastian Schmidt Daniel Becker 0010 Maram Akila Michael Mock Navigating the Landscape of AI Test Methods Using Taxonomy-Based Selection. 33-36 2025 RAIE https://doi.org/10.1109/RAIE66699.2025.00010 conf/raie/2025 db/conf/raie/raie2025.html#PintzSGSBAM25 streams/conf/raie Elena Haedecke Maram Akila Laura von Rüden Global Properties from Local Explanations with Concept Explanation Clusters. 3-27 2025 xAI (1) https://doi.org/10.1007/978-3-032-08317-3_1 conf/xai/2025-1 db/conf/xai/xai2025-1.html#HaedeckeAR25

Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. 2025 February abs/2502.12360 CoRR https://doi.org/10.48550/arXiv.2502.12360 db/journals/corr/corr2502.html#abs-2502-12360 streams/journals/corr

Sujan Sai Gannamaneni Michael Mock Maram Akila Assessing systematic weaknesses of DNNs using counterfactuals. 27-35 2024 February 4 AI Ethics 1 https://doi.org/10.1007/s43681-023-00407-0 db/journals/aiethics/aiethics4.html#GannamaneniMA24

Sergio Genovesi Julia Maria Mönig Anna Schmitz 0001 Maximilian Poretschkin Maram Akila Manoj Kahdan Romina Kleiner Lena Krieger 0002 Alexander Zimmermann Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. 537-553 2024 May 4 AI Ethics 2 https://doi.org/10.1007/s43681-023-00291-8 db/journals/aiethics/aiethics4.html#GenovesiMSPAKKKZ24

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Stefan Wrobel Asja Fischer Wasserstein dropout. 3161-3204 2024 May 113 Mach. Learn. 5 https://doi.org/10.1007/s10994-022-06230-8 db/journals/ml/ml113.html#SickingAPWWF24

Sujan Sai Gannamaneni Frederic Klein Michael Mock Maram Akila Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios. 3594-3604 2024 CVPR Workshops https://doi.org/10.1109/CVPRW63382.2024.00363 conf/cvpr/2024w db/conf/cvpr/cvprw2024.html#GannamaneniKMA22 Rebekka Görge Michael Mock Maram Akila Inspecting and Measuring Fairness of unlabeled Image Datasets. 191-200 2024 ICDEW https://doi.org/10.1109/ICDEW61823.2024.00031 conf/icde/2024w db/conf/icde/icde2024w.html#GorgeMA24 Lennard Helmer Claudio Martens Dennis Wegener Maram Akila Daniel Becker 0010 Sermad Abbas Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. 2024 RAIE@ICSE https://doi.org/10.1145/3643691.3648584 https://ieeexplore.ieee.org/document/10669873 conf/raie/2024 db/conf/raie/raie2024.html#HelmerMWA0A24 1-7

Elena Haedecke Michael Mock Maram Akila ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models. 265-275 2023 August 114 Comput. Graph. https://doi.org/10.1016/j.cag.2023.06.010 db/journals/cg/cg114.html#HaedeckeMA23

Sujan Sai Gannamaneni Arwin Sadaghiani Rohil Prakash Rao Michael Mock Maram Akila Investigating CLIP Performance for Meta-data Generation in AD Datasets. 3840-3850 2023 CVPR Workshops https://doi.org/10.1109/CVPRW59228.2023.00398 conf/cvpr/2023w db/conf/cvpr/cvprw2023.html#GannamaneniSRMA23

Maximilian Poretschkin Anna Schmitz 0001 Maram Akila Linara Adilova Daniel Becker 0010 Armin B. Cremers Dirk Hecker Sebastian Houben Michael Mock Julia Rosenzweig Joachim Sicking Elena Schulz Angelika Voss Stefan Wrobel Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. 2023 abs/2307.03681 CoRR https://doi.org/10.48550/arXiv.2307.03681 db/journals/corr/corr2307.html#abs-2307-03681

Sujan Sai Gannamaneni Michael Mock Maram Akila Assessing Systematic Weaknesses of DNNs using Counterfactuals. 2023 abs/2308.01614 CoRR https://doi.org/10.48550/arXiv.2308.01614 db/journals/corr/corr2308.html#abs-2308-01614

Anna Schmitz 0001 Maram Akila Dirk Hecker Maximilian Poretschkin Stefan Wrobel The why and how of trustworthy AI. 793-804 2022 70 Autom. 9 https://doi.org/10.1515/auto-2022-0012 db/journals/at/at70.html#SchmitzAHPW22

Elena Haedecke Michael Mock Maram Akila ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. 1-5 2022 EuroVA@EuroVis https://doi.org/10.2312/eurova.20221071 conf/eurova-ws/2022 db/conf/eurova-ws/eurova-ws2022.html#HaedeckeMA22 Joachim Sicking Maximilian Pintz Maram Akila Tim Wirtz DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. 237-248 2022 ICPRAM https://doi.org/10.5220/0010821800003122 conf/icpram/2022 db/conf/icpram/icpram2022.html#SickingPAW22

Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel Tailored Uncertainty Estimation for Deep Learning Systems. 2022 abs/2204.13963 CoRR https://doi.org/10.48550/arXiv.2204.13963 db/journals/corr/corr2204.html#abs-2204-13963

Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila A Survey on Uncertainty Toolkits for Deep Learning. 2022 abs/2205.01040 CoRR https://doi.org/10.48550/arXiv.2205.01040 db/journals/corr/corr2205.html#abs-2205-01040

Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. 56-65 2021 CVPR Workshops https://openaccess.thecvf.com/content/CVPR2021W/SAIAD/html/Rosenzweig_Patch_Shortcuts_Interpretable_Proxy_Models_Efficiently_Find_Black-Box_Vulnerabilities_CVPRW_2021_paper.html https://doi.org/10.1109/CVPRW53098.2021.00015 conf/cvpr/2021w db/conf/cvpr/cvprw2021.html#RosenzweigSHMA21 Linara Adilova Elena Schulz Maram Akila Sebastian Houben Jan David Schneider Fabian Hüger Tim Wirtz Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. 85-92 2021 CVPR Workshops https://openaccess.thecvf.com/content/CVPR2021W/SAIAD/html/Adilova_Plants_Dont_Walk_on_the_Street_Common-Sense_Reasoning_for_Reliable_CVPRW_2021_paper.html https://doi.org/10.1109/CVPRW53098.2021.00018 conf/cvpr/2021w db/conf/cvpr/cvprw2021.html#AdilovaSAHSHW21 Sujan Sai Gannamaneni Sebastian Houben Maram Akila Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. 1006-1014 2021 ICCVW https://doi.org/10.1109/ICCVW54120.2021.00117 conf/iccvw/2021 db/conf/iccvw/iccvw2021.html#GannamaneniHA21 Julia Rosenzweig Eduardo Brito Hans-Ulrich Kobialka Maram Akila Nico M. Schmidt Peter Schlicht Jan David Schneider Fabian Hüger Matthias Rottmann Sebastian Houben Tim Wirtz Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. 182-189 2021 IV Workshops https://doi.org/10.1109/IVWorkshops54471.2021.9669248 conf/ivs/2021w db/conf/ivs/ivs2021w.html#RosenzweigBKASS21

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel A Novel Regression Loss for Non-Parametric Uncertainty Optimization. 2021 abs/2101.02726 CoRR https://arxiv.org/abs/2101.02726 db/journals/corr/corr2101.html#abs-2101-02726

Linara Adilova Elena Schulz Maram Akila Sebastian Houben Jan David Schneider Fabian Hüger Tim Wirtz Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. 2021 abs/2104.09254 CoRR https://arxiv.org/abs/2104.09254 db/journals/corr/corr2104.html#abs-2104-09254

Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. 2021 abs/2104.11691 CoRR https://arxiv.org/abs/2104.11691 db/journals/corr/corr2104.html#abs-2104-11691

Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde Patrick Feifel Tim Fingscheidt Sujan Sai Gannamaneni Seyed Eghbal Ghobadi Ahmed Hammam Anselm Haselhoff Felix Hauser Christian Heinzemann Marco Hoffmann Nikhil Kapoor Falk Kappel Marvin Klingner Jan Kronenberger Fabian Küppers Jonas Löhdefink Michael Mlynarski Michael Mock Firas Mualla Svetlana Pavlitskaya Maximilian Poretschkin Alexander Pohl Varun Ravi Kumar Julia Rosenzweig Matthias Rottmann Stefan Rüping 0001 Timo Sämann Jan David Schneider Elena Schulz Gesina Schwalbe Joachim Sicking Toshika Srivastava Serin Varghese Michael Weber 0009 Sebastian Wirkert Tim Wirtz Matthias Woehrle Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. 2021 abs/2104.14235 CoRR https://arxiv.org/abs/2104.14235 db/journals/corr/corr2104.html#abs-2104-14235

Julia Rosenzweig Eduardo Brito Hans-Ulrich Kobialka Maram Akila Nico M. Schmidt Peter Schlicht Jan David Schneider Fabian Hüger Matthias Rottmann Sebastian Houben Tim Wirtz Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. 2021 abs/2106.05549 CoRR https://arxiv.org/abs/2106.05549 db/journals/corr/corr2106.html#abs-2106-05549

Stephanie Abrecht Maram Akila Sujan Sai Gannamaneni Konrad Groh Christian Heinzemann Sebastian Houben Matthias Woehrle Revisiting Neuron Coverage and Its Application to Test Generation. 289-301 2020 SAFECOMP Workshops https://doi.org/10.1007/978-3-030-55583-2_21 conf/safecomp/2020w db/conf/safecomp/safecomp2020w.html#AbrechtAGGHHW20

Joachim Sicking Maram Akila Tim Wirtz Sebastian Houben Asja Fischer Characteristics of Monte Carlo Dropout in Wide Neural Networks. 2020 abs/2007.05434 CoRR https://arxiv.org/abs/2007.05434 db/journals/corr/corr2007.html#abs-2007-05434

Joachim Sicking Maximilian Pintz Maram Akila Tim Wirtz DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. 2020 abs/2012.09783 CoRR https://arxiv.org/abs/2012.09783 db/journals/corr/corr2012.html#abs-2012-09783

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. 2020 abs/2012.12687 CoRR https://arxiv.org/abs/2012.12687 db/journals/corr/corr2012.html#abs-2012-12687

Sermad Abbas Stephanie Abrecht Linara Adilova Gennady L. Andrienko Natalia V. Andrienko Andreas Bär Daniel Becker 0010 Eduardo Brito Felix Brockherde Armin B. Cremers Patrick Feifel Tim Fingscheidt Asja Fischer Sujan Sai Gannamaneni Sergio Genovesi Seyed Eghbal Ghobadi Rebekka Görge Konrad Groh Elena HaedeckeElena Schulz Ahmed Hammam Anselm Haselhoff Felix Hauser Dirk Hecker Christian Heinzemann Lennard Helmer Marco Hoffmann Sebastian Houben Fabian Hüger Manoj Kahdan Nikhil Kapoor Falk Kappel Bahavathy Kathirgamanathan Frederic Klein Romina Kleiner Marvin Klingner Hans-Ulrich Kobialka Lena Krieger 0002 Jan Kronenberger Varun Ravi Kumar Fabian Küppers Miguel Ponce de Leon Jonas Löhdefink Claudio Martens Michael Mlynarski Michael Mock Julia Maria Mönig Firas Mualla Svetlana PavlitskaSvetlana Pavlitskaya Maximilian Pintz Alexander Pohl Maximilian Poretschkin Rohil Prakash Rao Julia Rosenzweig Matthias Rottmann Laura von Rüden Stefan Rüping 0001 Arwin Sadaghiani Timo Sämann Peter Schlicht Nico M. Schmidt Sebastian Schmidt Anna Schmitz 0001 Jan David Schneider Gesina Schwalbe Joachim Sicking Toshika Srivastava Serin Varghese Angelika Voss Michael Weber 0009 Dennis Wegener Sebastian Wirkert Tim Wirtz Matthias Woehrle Stefan Wrobel Alexander Zimmermann