Aswin Raghavan

36 papers A* 5A 1Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Noise-Tolerant Coreset-Based Class Incremental Continual Learning. CoRR Edison Mucllari, Aswin Raghavan, Zachary Alan Daniels
2024	J	`jnl`	Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning. CoRR Indranil Sur, Aswin Raghavan, Abrar Rahman, James Zachary Hare, Daniel N. Cassenti, Carl E. Busart
2024	—	`conf`	Data-Driven Pixel Control: Challenges and Prospects. DDDAS/Infosymbiotics Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang
2024	J	`jnl`	Data-Driven Pixel Control: Challenges and Prospects. CoRR Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang
2024	A*	`conf`	Tools Identification By On-Board Adaptation of Vision-and-Language Models. AAAI Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. 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 Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, 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, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, 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, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	Efficient Model Adaptation for Continual Learning at the Edge. CoRR Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang
2023	J	`jnl`	Enhancing Multi-Agent Coordination through Common Operating Picture Integration. CoRR Peihong Yu, Bhoram Lee, Aswin Raghavan, Supun Samarasekera, Pratap Tokekar, James Zachary Hare
2023	J	`jnl`	Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. CoRR Saurabh Farkya, Aswin Raghavan, Avi Ziskind
2022	J	`jnl`	Low-power In-pixel Computing with Current-modulated Switched Capacitors. CoRR David C. Zhang, Gooitzen van der Wal, Saurabh Farkya, Thomas Senko, Aswin Raghavan, Michael A. Isnardi, Michael R. Piacentino
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 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
2022	J	`jnl`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran
2022	—	`conf`	Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CVPR Workshops 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
2022	J	`jnl`	Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CoRR 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
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 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
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR 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
2020	J	`jnl`	Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. CoRR Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran
2019	J	`jnl`	Aesop: A visual storytelling platform for conversational AI and common sense grounding. AI Commun. Timothy J. Meo, Chris Kim, Aswin Raghavan, Alex Tozzo, David A. Salter, Amir Tamrakar, Mohamed R. Amer
2019	J	`jnl`	Generative Memory for Lifelong Reinforcement Learning. CoRR Aswin Raghavan, Jesse Hostetler, Sek M. Chai
2019	—	`conf`	Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. TrustCom/BigDataSE Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek M. Chai, Ruby B. Lee
2018	A*	`conf`	Aesop: A Visual Storytelling Platform for Conversational AI. IJCAI Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer
2018	J	`jnl`	Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. CoRR Zecheng He, Aswin Raghavan, Sek M. Chai, Ruby B. Lee
2018	A*	`conf`	Emergency Response Optimization using Online Hybrid Planning. IJCAI Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern
2018	—	`conf`	Event Prediction in Processors Using Deep Temporal Models. EMC2@ASPLOS C. D. Tharindu Mathew, Aswin Raghavan, Sek Chai
2018	J	`jnl`	Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks. CoRR Samyak Parajuli, Aswin Raghavan, Sek M. Chai
2017	J	`jnl`	BitNet: Bit-Regularized Deep Neural Networks. CoRR Aswin Raghavan, Mohamed R. Amer, Sek M. Chai
2017	J	`jnl`	GPU Activity Prediction using Representation Learning. CoRR Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai
2017	A*	`conf`	Hindsight Optimization for Hybrid State and Action MDPs. AAAI Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern
2017	J	`jnl`	Low Precision Neural Networks using Subband Decomposition. CoRR Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields
2015	A	`conf`	Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern
2013	—	`conf`	Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan
2013	—	`conf`	Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	J	`jnl`	Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	—	`conf`	Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli
2012	A*	`conf`	Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon