Generative Multi-Stream Architecture For American Sign Language Recognition. - Dom Huh; Sai Gurrapu; Frederick Olson; Huzefa Rangwala; Parth H. Pathak; Jana Kosecka (CoRR, 2020)

Hierarchical BiGraph Neural Network as Recommendation Systems. - Dom Huh (CoRR, 2020)

Greedy Bandits with Sampled Context. - Dom Huh (CoRR, 2020)

Synthetic Embedding-based Data Generation Methods for Student Performance. - Dom Huh; Huzefa Rangwala (EDM (Workshops), 2021)

Synthetic Embedding-based Data Generation Methods for Student Performance. - Dom Huh (CoRR, 2021)

Mix and Mask Actor-Critic Methods. - Dom Huh (CoRR, 2021)

Decentralized Multi-agent Filtering. - Dom Huh; Prasant Mohapatra (CoRR, 2023)

Multi-agent Reinforcement Learning: A Comprehensive Survey. - Dom Huh; Prasant Mohapatra (CoRR, 2023)

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning. - Dom Huh; Prasant Mohapatra (CoRR, 2024)

Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control. - Dom Huh; Prasant Mohapatra (CoRR, 2025)

Multi-agent Auto-Bidding with Latent Graph Diffusion Models. - Dom Huh; Prasant Mohapatra (CoRR, 2025)

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs. - Dom Huh; Prasant Mohapatra (CoRR, 2025)