Blind space-time multiuser detector. - Akshay Mishra; Sumitra Ganesh; Uday B. Desai (ISCAS (1), 2002)

Composition of Dynamical Systems for Estimation of Human Body Dynamics. - Sumitra Ganesh; Aaron D. Ames; Ruzena Bajcsy (HSCC, 2007)

Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model. - Sumitra Ganesh; Ruzena Bajcsy (VISAPP (2), 2008)

Recognition of Human Actions using an Optimal Control Based Motor Model. - Sumitra Ganesh; Ruzena Bajcsy (WACV, 2008)

Learning and Recognition of Human Actions Using Optimal Control Primitives. - Sumitra Ganesh; Ruzena Bajcsy (Int. J. Humanoid Robotics, 2009)

Reinforcement Learning for Market Making in a Multi-agent Dealer Market. - Sumitra Ganesh; Nelson Vadori; Mengda Xu; Hua Zheng; Prashant P. Reddy; Manuela Veloso (CoRR, 2019)

Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. - Nelson Vadori; Sumitra Ganesh; Prashant P. Reddy; Manuela Veloso (ICAIF, 2020)

Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. - Nelson Vadori; Sumitra Ganesh; Prashant P. Reddy; Manuela Veloso (NeurIPS, 2020)

Towards a fully rl-based market simulator. - Leo Ardon; Nelson Vadori; Thomas Spooner; Mengda Xu; Jared Vann; Sumitra Ganesh (ICAIF, 2021)

Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs. - Thomas Spooner; Nelson Vadori; Sumitra Ganesh (NeurIPS, 2021)

Causal Policy Gradients. - Thomas Spooner; Nelson Vadori; Sumitra Ganesh (CoRR, 2021)

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. - Nelson Vadori; Rahul Savani; Thomas Spooner; Sumitra Ganesh (ICML, 2022)

Mixture of basis for interpretable continual learning with distribution shifts. - Mengda Xu; Sumitra Ganesh; Pranay Pasula (CoRR, 2022)

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. - Yanchao Sun; Ruijie Zheng; Parisa Hassanzadeh; Yongyuan Liang; Soheil Feizi; Sumitra Ganesh; Furong Huang (CoRR, 2022)

Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets. - Leo Ardon; Jared Vann; Deepeka Garg; Tom Spooner; Sumitra Ganesh (CoRR, 2022)

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. - Nelson Vadori; Leo Ardon; Sumitra Ganesh; Thomas Spooner; Selim Amrouni; Jared Vann; Mengda Xu; Zeyu Zheng; Tucker Balch; Manuela Veloso (CoRR, 2022)

Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning. - Leo Ardon; Alberto Pozanco; Daniel Borrajo; Sumitra Ganesh (CoRR, 2022)

Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. - Leo Ardon; Jared Vann; Deepeka Garg; Thomas Spooner; Sumitra Ganesh (AAMAS, 2023)

Sequential Fair Resource Allocation under a Markov Decision Process Framework. - Parisa Hassanzadeh; Eleonora Kreacic; Sihan Zeng; Yuchen Xiao; Sumitra Ganesh (ICAIF, 2023)

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. - Yanchao Sun; Ruijie Zheng; Parisa Hassanzadeh; Yongyuan Liang; Soheil Feizi; Sumitra Ganesh; Furong Huang (ICLR, 2023)

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. - Yuchen Xiao; Yanchao Sun; Mengda Xu; Udari Madhushani; Jared Vann; Deepeka Garg; Sumitra Ganesh (CoRR, 2023)

Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. - Sihan Zeng; Sujay Bhatt; Eleonora Kreacic; Parisa Hassanzadeh; Alec Koppel; Sumitra Ganesh (CoRR, 2023)

Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning. - Benjamin Patrick Evans; Sumitra Ganesh (AAMAS, 2024)

Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. - Leo Ardon; Benjamin Patrick Evans; Deepeka Garg; Annapoorani Lakshmi Narayanan; Makada Henry-Nickie; Sumitra Ganesh (ICAIF, 2024)

Efficient Inverse Multiagent Learning. - Denizalp Goktas; Amy Greenwald; Sadie Zhao; Alec Koppel; Sumitra Ganesh (ICLR, 2024)

Information-Directed Pessimism for Offline Reinforcement Learning. - Alec Koppel; Sujay Bhatt; Jiacheng Guo; Joe Eappen; Mengdi Wang; Sumitra Ganesh (ICML, 2024)

Learning Payment-Free Resource Allocation Mechanisms. - Sihan Zeng; Sujay Bhatt; Eleonora Kreacic; Parisa Hassanzadeh; Alec Koppel; Sumitra Ganesh (WSC, 2024)

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis. - Deepeka Garg; Benjamin Patrick Evans; Leo Ardon; Annapoorani Lakshmi Narayanan; Jared Vann; Udari Madhushani; Makada Henry-Nickie; Sumitra Ganesh (CoRR, 2024)

Scalable Representation Learning for Multimodal Tabular Transactions. - Natraj Raman; Sumitra Ganesh; Manuela Veloso (CoRR, 2024)

In-Context Learning with Topological Information for Knowledge Graph Completion. - Udari Madhushani Sehwag; Kassiani Papasotiriou; Jared Vann; Sumitra Ganesh (CoRR, 2024)

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (Trans. Mach. Learn. Res., 2024)

Online MCMC Thinning with Kernelized Stein Discrepancy. - Alec Koppel; Joe Eappen; Sujay Bhatt; Cole Hawkins; Sumitra Ganesh (SIAM J. Math. Data Sci., 2024)

Decentralized Convergence to Equilibrium Prices in Trading Networks. - Edwin Lock; Benjamin Patrick Evans; Eleonora Kreacic; Sujay Bhatt; Alec Koppel; Sumitra Ganesh; Paul W. Goldberg (AAAI, 2025)

Approximate Equivariance in Reinforcement Learning. - Jung Yeon Park; Sujay Bhatt; Sihan Zeng; Lawson L. S. Wong; Alec Koppel; Sumitra Ganesh; Robin Walters 001 (AISTATS, 2025)

Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (AISTATS, 2025)

Partially Observable Contextual Bandits With Linear Payoffs. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (ICASSP, 2025)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. - Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh (ICLR, 2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. - Yuancheng Xu; Udari Madhushani Sehwag; Alec Koppel; Sicheng Zhu; Bang An 001; Furong Huang; Sumitra Ganesh (ICLR, 2025)

ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling. - Benjamin Patrick Evans; Sihan Zeng; Sumitra Ganesh; Leo Ardon (AAMAS, 2025)

Generative AI Agents for Knowledge Work Augmentation in Finance. - Sumitra Ganesh; Leo Ardon; Daniel Borrajo; Deepeka Garg; Udari Madhushani Sehwag; Annapoorani Lakshmi Narayanan; Giuseppe Canonaco; Manuela M. Veloso (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. - Harit Vishwakarma; Alan Mishler; Thomas Cook; Niccolò Dalmasso; Natraj Raman; Sumitra Ganesh (CoRR, 2025)

Generating Structured Plan Representation of Procedures with LLMs. - Deepeka Garg; Sihan Zeng; Sumitra Ganesh; Leo Ardon (CoRR, 2025)

Modelling bounded rational decision-making through Wasserstein constraints. - Benjamin Patrick Evans; Leo Ardon; Sumitra Ganesh (CoRR, 2025)