Sumitra Ganesh
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (5) π Academic Marathon (5) π§ Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(11)
π
Conference Polyglot
(5)
π
Grand Slam
β
The Questioner
π
Century Club
(12)
π₯
Unstoppable
(6)
β‘
Prolific Year
(6)
Conferences
ICLR (4)
ICML (3)
ACL (2)
AISTATS (2)
EACL (2)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
multi-agent system
(2)
nash equilibrium
(2)
policy gradient
(1)
markov decision process
(1)
multi-objective optimization
(1)
parameter sharing
(1)
partial observability
(1)
markov game
(1)
consensus optimization
(1)
learning to learn
(1)
variance reduction
(1)
market equilibrium
(1)
multimodal agent
(1)
multimodal large language model
(1)
information extraction
(1)
competitive equilibrium
(1)
multiplicative weights update
(1)
visual document understanding
(1)
linguistic feature
(1)
game theory
(1)
Papers
SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding
ACL 2026
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
EACL 2026
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
ACL 2026
TASER: Table Agents for Schema-guided Extraction and Recommendation
EACL 2026
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
ICLR 2025
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
Decentralized Convergence to Equilibrium Prices in Trading Networks
AAAI 2025
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
AISTATS 2025
Approximate Equivariance in Reinforcement Learning
AISTATS 2025
Prune βn Predict: Optimizing LLM Decision-making with Conformal Prediction
ICML 2025
Information-Directed Pessimism for Offline Reinforcement Learning
ICML 2024
Efficient Inverse Multiagent Learning
ICLR 2024
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
ICLR 2023
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
ICML 2022
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
NIPS 2021
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
NIPS 2020