Noise-Tolerant Coreset-Based Class Incremental Continual Learning.

Aswin Raghavan Aswin Nadamuni Raghavan Oregon State University, Corvallis, OR, USA https://sites.google.com/site/ashwinnr/

Edison Mucllari Aswin Raghavan Zachary Alan Daniels Noise-Tolerant Coreset-Based Class Incremental Continual Learning. 2025 April abs/2504.16763 CoRR https://doi.org/10.48550/arXiv.2504.16763 db/journals/corr/corr2504.html#abs-2504-16763 streams/journals/corr

Jun Hu Phil Miller Michael Lomnitz Saurabh Farkya Emre Yilmaz Aswin Raghavan David C. Zhang Michael R. Piacentino Tools Identification By On-Board Adaptation of Vision-and-Language Models. 23799-23801 2024 AAAI https://doi.org/10.1609/aaai.v38i21.30569 conf/aaai/2024 db/conf/aaai/aaai2024.html#HuMLFYRZP24 Saurabh Farkya Zachary Alan Daniels Aswin Raghavan Gooitzen van der Wal Michael A. Isnardi Michael R. Piacentino David C. Zhang Data-Driven Pixel Control: Challenges and Prospects. 257-267 2024 DDDAS/Infosymbiotics https://doi.org/10.1007/978-3-031-94895-4_27 conf/dddas/2024 db/conf/dddas/dddas2024.html#FarkyaDRWIPZ24 streams/conf/dddas

Saurabh Farkya Zachary Alan Daniels Aswin Raghavan Gooitzen van der Wal Michael A. Isnardi Michael R. Piacentino David C. Zhang Data-Driven Pixel Control: Challenges and Prospects. 2024 abs/2408.04767 CoRR https://doi.org/10.48550/arXiv.2408.04767 db/journals/corr/corr2408.html#abs-2408-04767 streams/journals/corr

Indranil Sur Aswin Raghavan Abrar Rahman James Zachary Hare Daniel N. Cassenti Carl E. Busart Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning. 2024 abs/2411.05683 CoRR https://doi.org/10.48550/arXiv.2411.05683 db/journals/corr/corr2411.html#abs-2411-05683 streams/journals/corr

Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold Eseoghene Ben-Iwhiwhu Andrew P. Brna Ethan Brooks Ryan C. Brown Zachary Daniels Anurag Reddy Daram Fabien Delattre Ryan Dellana Eric Eaton Haotian Fu Kristen Grauman Jesse Hostetler Shariq Iqbal Cassandra Kent Nicholas Ketz Soheil Kolouri George Konidaris 0001 Dhireesha Kudithipudi Erik G. Learned-Miller Seungwon Lee Michael Littman 0002 Sandeep Madireddy Jorge A. Mendez Eric Q. Nguyen Christine D. Piatko Praveen K. Pilly Aswin Raghavan Abrar Rahman Santhosh Kumar Ramakrishnan Neale Ratzlaff Andrea Soltoggio Peter Stone 0001 Indranil Sur Zhipeng Tang Saket Tiwari Kyle Vedder Felix Wang Zifan Xu Angel Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha A domain-agnostic approach for characterization of lifelong learning systems. 274-296 2023 March 160 Neural Networks https://doi.org/10.1016/j.neunet.2023.01.007 db/journals/nn/nn160.html#BakerNAAABBBBDDDDEFGHIKKKKKLLLMMNPPR23

Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold Eseoghene Ben-Iwhiwhu Andrew P. Brna Ethan Brooks Ryan C. Brown Zachary Daniels Anurag Reddy Daram Fabien Delattre Ryan Dellana Eric Eaton Haotian Fu Kristen Grauman Jesse Hostetler Shariq Iqbal Cassandra Kent Nicholas Ketz Soheil Kolouri George Dimitri Konidaris Dhireesha Kudithipudi Erik G. Learned-Miller Seungwon Lee Michael Littman 0002 Sandeep Madireddy Jorge A. Mendez Eric Q. Nguyen Christine D. Piatko Praveen K. Pilly Aswin Raghavan Abrar Rahman Santhosh Kumar Ramakrishnan Neale Ratzlaff Andrea Soltoggio Peter Stone 0001 Indranil Sur Zhipeng Tang Saket Tiwari Kyle Vedder Felix Wang Zifan Xu Angel Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. 2023 abs/2301.07799 CoRR https://doi.org/10.48550/arXiv.2301.07799 db/journals/corr/corr2301.html#abs-2301-07799

Zachary A. Daniels Jun Hu Michael Lomnitz Phil Miller Aswin Raghavan Joe Zhang Michael R. Piacentino David C. Zhang Efficient Model Adaptation for Continual Learning at the Edge. 2023 abs/2308.02084 CoRR https://doi.org/10.48550/arXiv.2308.02084 db/journals/corr/corr2308.html#abs-2308-02084

Peihong Yu Bhoram Lee Aswin Raghavan Supun Samarasekera Pratap Tokekar James Zachary Hare Enhancing Multi-Agent Coordination through Common Operating Picture Integration. 2023 abs/2311.04740 CoRR https://doi.org/10.48550/arXiv.2311.04740 db/journals/corr/corr2311.html#abs-2311-04740

Saurabh Farkya Aswin Raghavan Avi Ziskind Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. 2023 abs/2312.00105 CoRR https://doi.org/10.48550/arXiv.2312.00105 db/journals/corr/corr2312.html#abs-2312-00105

Indranil Sur Zachary Daniels Abrar Rahman Kamil Faber Gianmarco J. Gallardo Tyler L. Hayes Cameron E. Taylor Mustafa Burak Gurbuz James Seale Smith Sahana Pramod Joshi Nathalie Japkowicz Michael Baron Zsolt Kira Christopher Kanan Roberto Corizzo Ajay Divakaran Michael R. Piacentino Jesse Hostetler Aswin Raghavan System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. 12:1-12:9 2022 AIMLSystems https://doi.org/10.1145/3564121.3565236 conf/aiml2/2022 db/conf/aiml2/aiml2022.html#SurDRFGHTGSJJBK22 Zachary Alan Daniels Aswin Raghavan Jesse Hostetler Abrar Rahman Indranil Sur Michael R. Piacentino Ajay Divakaran Roberto Corizzo Kamil Faber Nathalie Japkowicz Michael Baron James Seale Smith Sahana Pramod Joshi Zsolt Kira Cameron Ethan Taylor Mustafa Burak Gurbuz Constantine Dovrolis Tyler L. Hayes Christopher Kanan Jhair Gallardo Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. 1120-1145 2022 CoLLAs https://proceedings.mlr.press/v199/daniels22a.html conf/collas/2022 db/conf/collas/collas2022.html#DanielsRHRSPDCF22 Indhumathi Kandaswamy Saurabh Farkya Zachary Daniels Gooitzen van der Wal Aswin Raghavan Yuzheng Zhang Jun Hu Michael Lomnitz Michael A. Isnardi David C. Zhang Michael R. Piacentino Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. 3609-3617 2022 CVPR Workshops https://doi.org/10.1109/CVPRW56347.2022.00405 conf/cvpr/2022w db/conf/cvpr/cvpr2022w.html#KandaswamyFDWRZ22

Saurabh Farkya Zachary Daniels Aswin Nadamuni Raghavan David C. Zhang Michael R. Piacentino Saccade Mechanisms for Image Classification, Object Detection and Tracking. 2022 abs/2206.05102 CoRR https://doi.org/10.48550/arXiv.2206.05102 db/journals/corr/corr2206.html#abs-2206-05102

Indhumathi Kandaswamy Saurabh Farkya Zachary Daniels Gooitzen van der Wal Aswin Raghavan Yuzheng Zhang Jun Hu Michael Lomnitz Michael A. Isnardi David C. Zhang Michael R. Piacentino Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. 2022 abs/2206.05128 CoRR https://doi.org/10.48550/arXiv.2206.05128 db/journals/corr/corr2206.html#abs-2206-05128

Zachary Daniels Aswin Raghavan Jesse Hostetler Abrar Rahman Indranil Sur Michael R. Piacentino Ajay Divakaran Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. 2022 abs/2208.05056 CoRR https://doi.org/10.48550/arXiv.2208.05056 db/journals/corr/corr2208.html#abs-2208-05056

David C. Zhang Gooitzen van der Wal Saurabh Farkya Thomas Senko Aswin Raghavan Michael A. Isnardi Michael R. Piacentino Low-power In-pixel Computing with Current-modulated Switched Capacitors. 2022 abs/2210.07826 CoRR https://doi.org/10.48550/arXiv.2210.07826 db/journals/corr/corr2210.html#abs-2210-07826

Aswin Raghavan Jesse Hostetler Indranil Sur Abrar Rahman Ajay Divakaran Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. 2020 abs/2007.06918 CoRR https://arxiv.org/abs/2007.06918 db/journals/corr/corr2007.html#abs-2007-06918

Timothy J. Meo Chris Kim Aswin Raghavan Alex Tozzo David A. Salter Amir Tamrakar Mohamed R. Amer Aesop: A visual storytelling platform for conversational AI and common sense grounding. 59-76 2019 32 AI Commun. 1 https://doi.org/10.3233/AIC-180605 db/journals/aicom/aicom32.html#MeoKRTSTA19

Zecheng He Aswin Raghavan Guangyuan Hu Sek M. Chai Ruby B. Lee Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. 160-167 2019 TrustCom/BigDataSE https://doi.org/10.1109/TrustCom/BigDataSE.2019.00030 conf/trustcom/2019 db/conf/trustcom/trustcom2019.html#HeRHCL19

Aswin Raghavan Jesse Hostetler Sek M. Chai Generative Memory for Lifelong Reinforcement Learning. 2019 abs/1902.08349 CoRR http://arxiv.org/abs/1902.08349 db/journals/corr/corr1902.html#abs-1902-08349

C. D. Tharindu Mathew Aswin Raghavan Sek Chai Event Prediction in Processors Using Deep Temporal Models. 29-33 2018 EMC2@ASPLOS https://doi.org/10.1109/EMC2.2018.00014 conf/emc2/2018 db/conf/emc2/emc2-2018.html#MathewRC18 Durga Harish Dayapule Aswin Raghavan Prasad Tadepalli Alan Fern Emergency Response Optimization using Online Hybrid Planning. 4722-4728 2018 IJCAI https://doi.org/10.24963/ijcai.2018/656 conf/ijcai/2018 db/conf/ijcai/ijcai2018.html#DayapuleRTF18 Tim Meo Aswin Raghavan David A. Salter Alex Tozzo Amir Tamrakar Mohamed R. Amer Aesop: A Visual Storytelling Platform for Conversational AI. 5844-5846 2018 IJCAI https://doi.org/10.24963/ijcai.2018/857 conf/ijcai/2018 db/conf/ijcai/ijcai2018.html#MeoRSTTA18

Zecheng He Aswin Raghavan Sek M. Chai Ruby B. Lee Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. 2018 abs/1806.06496 CoRR http://arxiv.org/abs/1806.06496 db/journals/corr/corr1806.html#abs-1806-06496

Samyak Parajuli Aswin Raghavan Sek M. Chai Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks. 2018 abs/1811.04985 CoRR http://arxiv.org/abs/1811.04985 db/journals/corr/corr1811.html#abs-1811-04985

Aswin Raghavan Scott Sanner Roni Khardon Prasad Tadepalli Alan Fern Hindsight Optimization for Hybrid State and Action MDPs. 3790-3796 2017 AAAI https://doi.org/10.1609/aaai.v31i1.11056 conf/aaai/2017 db/conf/aaai/aaai2017.html#RaghavanSKTF17

Sek M. Chai Aswin Raghavan David C. Zhang Mohamed R. Amer Timothy J. Shields Low Precision Neural Networks using Subband Decomposition. 2017 abs/1703.08595 CoRR http://arxiv.org/abs/1703.08595 db/journals/corr/corr1703.html#ChaiRZAS17

Aswin Raghavan Mohamed R. Amer Timothy J. Shields David C. Zhang Sek M. Chai GPU Activity Prediction using Representation Learning. 2017 abs/1703.09146 CoRR http://arxiv.org/abs/1703.09146 db/journals/corr/corr1703.html#RaghavanASZC17

Aswin Raghavan Mohamed R. Amer Sek M. Chai BitNet: Bit-Regularized Deep Neural Networks. 2017 abs/1708.04788 CoRR http://arxiv.org/abs/1708.04788 db/journals/corr/corr1708.html#abs-1708-04788

Aswin Raghavan Roni Khardon Prasad Tadepalli Alan Fern Memory-Effcient Symbolic Online Planning for Factored MDPs. 732-741 2015 UAI conf/uai/2015 db/conf/uai/uai2015.html#RaghavanKTF15 http://auai.org/uai2015/proceedings/papers/268.pdf Saket Joshi Roni Khardon Prasad Tadepalli Alan Fern Aswin Raghavan Relational Markov Decision Processes: Promise and Prospects. 2013 StarAI@AAAI http://www.aaai.org/ocs/index.php/WS/AAAIW13/paper/view/7168 conf/aaai/2013stat db/conf/aaai/stat2013.html#JoshiKTFR13 Aswin Raghavan Roni Khardon Alan Fern Prasad Tadepalli Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. 2499-2507 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/7d771e0e8f3633ab54856925ecdefc5d-Abstract.html http://papers.nips.cc/paper/5143-symbolic-opportunistic-policy-iteration-for-factored-action-mdps conf/nips/2013 db/conf/nips/nips2013.html#RaghavanKFT13 Saket Joshi Roni Khardon Prasad Tadepalli Aswin Raghavan Alan Fern Solving Relational MDPs with Exogenous Events and Additive Rewards. 178-193 2013 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-40988-2_12 conf/pkdd/2013-1 db/conf/pkdd/pkdd2013-1.html#JoshiKTRF13

Saket Joshi Roni Khardon Prasad Tadepalli Aswin Raghavan Alan Fern Solving Relational MDPs with Exogenous Events and Additive Rewards. 2013 CoRR http://arxiv.org/abs/1306.6302 abs/1306.6302 db/journals/corr/corr1306.html#JoshiKTRF13

Aswin Raghavan Saket Joshi Alan Fern Prasad Tadepalli Roni Khardon Planning in Factored Action Spaces with Symbolic Dynamic Programming. 2012 AAAI https://doi.org/10.1609/aaai.v26i1.8364 conf/aaai/2012 db/conf/aaai/aaai2012.html#RaghavanJFTK12 1802-1808 Mario Aguilar-Simon Ziad Al-Halah Mohamed R. Amer Sébastien M. R. Arnold Megan M. Baker Michael Baron Eseoghene BenjaminEseoghene Ben-Iwhiwhu Andrew P. Brna Ethan Brooks Ryan C. Brown Carl E. Busart Daniel N. Cassenti Sek Chai Sek M. Chai Roberto Corizzo Zachary A. DanielsZachary Alan DanielsZachary Daniels Anurag Reddy Daram Durga Harish Dayapule Fabien Delattre Ryan Dellana Ajay Divakaran Constantinos DovrolisConstantine Dovrolis Eric Eaton Kamil Faber Saurabh Farkya Alan Fern Haotian Fu Gianmarco J. Gallardo Jhair Gallardo Kristen Grauman Mustafa Burak Gurbuz James Zachary Hare Tyler L. Hayes Zecheng He Jesse Hostetler Guangyuan Hu Jun Hu Shariq Iqbal Michael A. Isnardi Nathalie Japkowicz Sahana Pramod Joshi Saket Joshi Christopher Kanan Indhumathi Kandaswamy Cassandra Kent Nicholas Ketz Roni Khardon Chris Kim Zsolt Kira Soheil Kolouri George Dimitri KonidarisGeorge Konidaris 0001 Dhireesha Kudithipudi Erik G. Learned-Miller Bhoram Lee Ruby B. Lee Seung Won LeeSeungwon Lee Michael L. LittmanMichael Littman 0002 Michael Lomnitz Sandeep Madireddy C. D. Tharindu Mathew Jorge A. Mendez Timothy J. MeoTim Meo Phil Miller Edison Mucllari Alexander New Eric Q. Nguyen Samyak Parajuli Michael R. Piacentino Christine D. Piatko Praveen K. Pilly Abrar Rahman Santhosh K. RamakrishnanSanthosh Kumar Ramakrishnan Neale Ratzlaff David A. Salter Supun Samarasekera Scott Sanner Thomas Senko Timothy J. Shields James Seale Smith Andrea Soltoggio Peter Stone 0001 Indranil Sur Prasad Tadepalli Amir Tamrakar Zhipeng Tang Cameron E. TaylorCameron Ethan Taylor Saket Tiwari Pratap Tokekar Alex Tozzo Gautam K. Vallabha Kyle Vedder Gooitzen van der Wal Felix Wang Zifan Xu Angel Yanguas-Gil Harel Yedidsion Emre Yilmaz Peihong Yu Shangqun Yu David C. Zhang Joe Zhang Yuzheng Zhang Avi Ziskind