Dileep Kalathil

62 papers A* 12A 2B 1C 1Journal 39Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning. CoRR Akshay Mete, Shahid Aamir Sheikh, Tzu-Hsiang Lin, Dileep Kalathil, P. R. Kumar
2026	J	`jnl`	Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages. CoRR Vishnu Teja Kunde, Fatemeh Doudi, Mahdi Farahbakhsh, Dileep Kalathil, Krishna Narayanan, Jean-François Chamberland
2026	J	`jnl`	Structure-Aided Reinforcement Learning for Media Streaming Over Wireless Edge Networks. IEEE Trans. Netw. Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2025	J	`jnl`	Abstractions-of-Thought: Intermediate Representations for LLM Reasoning in Hardware Design. CoRR Matthew DeLorenzo, Kevin Tieu, Prithwish Jana, Piyush Jha, Dileep Kalathil, Vijay Ganesh, Jeyavijayan Rajendran
2025	—	`conf`	Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. L4DC Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2025	J	`jnl`	Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning. CoRR Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
2025	J	`jnl`	Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models. CoRR Min Cheng, Fatemeh Doudi, Dileep Kalathil, Mohammad Ghavamzadeh, Panganamala R. Kumar
2025	J	`jnl`	Distributionally Robust Direct Preference Optimization. CoRR Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran
2025	J	`jnl`	GSpaRC: Gaussian Splatting for Real-time Reconstruction of RF Channels. CoRR Bhavya Sai Nukapotula, Rishabh Tripathi, Seth Pregler, Dileep Kalathil, Srinivas Shakkottai, Theodore S. Rappaport
2025	J	`jnl`	In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. CoRR Matteo Zecchin, Tomer Raviv, Dileep Kalathil, Krishna Narayanan, Nir Shlezinger, Osvaldo Simeone
2025	J	`jnl`	Inference-Time Search using Side Information for Diffusion-based Image Reconstruction. CoRR Mahdi Farahbakhsh, Vishnu Teja Kunde, Dileep Kalathil, Krishna Narayanan, Jean-François Chamberland
2025	J	`jnl`	MAVIS: Multi-Objective Alignment via Value-Guided Inference-Time Search. CoRR Jeremy Carleton, Debajoy Mukherjee, Srinivas Shakkottai, Dileep Kalathil
2025	J	`jnl`	Meta-Learning Online Control for Linear Dynamical Systems. IEEE Trans. Autom. Control. Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar
2025	J	`jnl`	Meta-Learning for Fast Adaption in Caching Networks. IEEE Trans. Netw. Dheeraj Narasimha, Dileep Kalathil, Srinivas Shakkottai
2025	—	`conf`	Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CDC Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2025	J	`jnl`	ReFuzz: Reusing Tests for Processor Fuzzing with Contextual Bandits. CoRR Chen Chen, Zaiyan Xu, Mohamadreza Rostami, David Liu, Dileep Kalathil, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran
2025	J	`jnl`	Risk-Averse Finetuning of Large Language Models. CoRR Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
2025	A	`conf`	Transformers are Provably Optimal In-context Estimators for Wireless Communications. AISTATS Vishnu Teja Kunde, Vicram Rajagopalan, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Jean-François Chamberland, Dileep Kalathil, Srinivas Shakkottai
2024	A*	`conf`	AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning. USENIX Security Symposium Vasudev Gohil, Satwik Patnaik, Dileep Kalathil, Jeyavijayan Rajendran
2024	J	`jnl`	AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning. CoRR Vasudev Gohil, Satwik Patnaik, Dileep Kalathil, Jeyavijayan Rajendran
2024	J	`jnl`	DETERRENT: Detecting Trojans Using Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Vasudev Gohil, Satwik Patnaik, Hao Guo, Dileep Kalathil, Jeyavijayan Rajendran
2024	A*	`conf`	Federated Ensemble-Directed Offline Reinforcement Learning. NeurIPS Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
2024	A*	`conf`	Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems. AAAI Amit Jena, Dileep Kalathil, Le Xie
2024	C	`conf`	Optimal Control of Material Micro-Structures. ACC Aayushman Sharma, Zirui Mao, Haiying Yang, Suman Chakravorty, Michael J. Demkowicz, Dileep Kalathil
2024	J	`jnl`	PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems. CoRR Ali Menati, Fatemeh Doudi, Dileep Kalathil, Le Xie
2024	A*	`conf`	Risk-Averse Fine-tuning of Large Language Models. NeurIPS Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
2024	B	`conf`	Structured Reinforcement Learning for Media Streaming at the Wireless Edge. MobiHoc Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2024	J	`jnl`	Structured Reinforcement Learning for Media Streaming at the Wireless Edge. CoRR Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2023	—	`conf`	Distributionally Robust Behavioral Cloning for Robust Imitation Learning. CDC Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2023	J	`jnl`	Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. CoRR Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023	J	`jnl`	Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. Trans. Mach. Learn. Res. Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023	J	`jnl`	Federated Ensemble-Directed Offline Reinforcement Learning. CoRR Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
2023	A	`conf`	Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. AISTATS Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
2023	J	`jnl`	Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. CoRR Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
2023	J	`jnl`	LLMZip: Lossless Text Compression using Large Language Models. CoRR Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Dileep Kalathil, Jean-François Chamberland, Srinivas Shakkottai
2023	J	`jnl`	Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems. CoRR Amit Jena, Dileep Kalathil, Le Xie
2023	A*	`conf`	Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. NeurIPS Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
2023	J	`jnl`	Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. CoRR Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
2023	J	`jnl`	Transformers are Efficient In-Context Estimators for Wireless Communication. CoRR Vicram Rajagopalan, Vishnu Teja Kunde, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Srinivas Shakkottai, Dileep Kalathil, Jean-François Chamberland
2022	A*	`conf`	Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. NeurIPS Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
2022	J	`jnl`	DETERRENT: Detecting Trojans using Reinforcement Learning. CoRR Vasudev Gohil, Satwik Patnaik, Hao Guo, Dileep Kalathil, Jeyavijayan Rajendran
2022	A*	`conf`	DETERRENT: detecting trojans using reinforcement learning. DAC Vasudev Gohil, Satwik Patnaik, Hao Guo, Dileep Kalathil, Jeyavijayan (JV) Rajendran
2022	A*	`conf`	DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning. NeurIPS Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
2022	J	`jnl`	Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. CoRR Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	A*	`conf`	Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. NeurIPS Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	J	`jnl`	Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. IEEE/ACM Trans. Netw. Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
2022	—	`conf`	Meta-Learning Online Control for Linear Dynamical Systems. CDC Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar
2022	—	`conf`	Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources. CDC Dheeraj Narasimha, Ki-Yeob Lee, Dileep Kalathil, Srinivas Shakkottai
2022	—	`conf`	Online Learning for Predictive Control with Provable Regret Guarantees. CDC Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil, Pramod P. Khargonekar
2022	J	`jnl`	Optimal Control of Material Micro-Structures. CoRR Aayushman Sharma, Zirui Mao, Haiying Yang, Suman Chakravorty, Michael J. Demkowicz, Dileep Kalathil
2022	J	`jnl`	QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge. IEEE/ACM Trans. Netw. Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
2022	A*	`conf`	Robust Reinforcement Learning using Offline Data. NeurIPS Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
2021	J	`jnl`	Fast Global Convergence of Policy Optimization for Constrained MDPs. CoRR Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
2021	A*	`conf`	Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. NeurIPS Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala R. Kumar, Chao Tian
2021	J	`jnl`	Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. CoRR Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
2021	J	`jnl`	OTTR: Off-Road Trajectory Tracking using Reinforcement Learning. CoRR Akhil Nagariya, Dileep Kalathil, Srikanth Saripalli
2021	J	`jnl`	Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2021	A*	`conf`	Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees. ICML Kishan Panaganti Badrinath, Dileep Kalathil
2021	J	`jnl`	Safe Online Convex Optimization with Unknown Linear Safety Constraints. CoRR Sapana Chaudhary, Dileep Kalathil
2021	—	`conf`	Sample Complexity of Model-Based Robust Reinforcement Learning. CDC Kishan Panaganti, Dileep Kalathil
2021	J	`jnl`	Sample Complexity of Robust Reinforcement Learning with a Generative Model. CoRR Kishan Panaganti, Dileep Kalathil
2020	J	`jnl`	A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS. CoRR Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil