Raihan Seraj

18 papers A* 3Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models.
CoRR
Marcos Villagra, Bidhan Roy, Raihan Seraj, Zhiying Jiang
2026 J jnl
Heterogeneous Decentralized Diffusion Models.
CoRR
Zhiying Jiang, Raihan Seraj, Marcos Villagra, Bidhan Roy
2025 J jnl
Contextual bandits with entropy-based human feedback.
CoRR
Raihan Seraj, Lili Meng, Tristan Sylvain
2025 J jnl
Dynamic Estimation of Mental Workload and Operator Accuracy for Time-Constrained Binary Classification Tasks.
IEEE Trans. Hum. Mach. Syst.
Raihan Seraj, Aditya Mahajan, Jerome Le Ny
2025 J jnl
Fatigue and Task Load Dependent Decision Referrals for Joint Binary Classification in Human-Automation Teams.
IEEE Control. Syst. Lett.
Raihan Seraj, Jerome Le Ny, Aditya Mahajan
2025 J jnl
Paris: A Decentralized Trained Open-Weight Diffusion Model.
CoRR
Zhiying Jiang, Raihan Seraj, Marcos Villagra, Bidhan Roy
2024 A* conf
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval.
ICLR
Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain
2024 J jnl
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs.
CoRR
Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb
2024 A* conf
PcLast: Discovering Plannable Continuous Latent States.
ICML
Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miroslav Dudík, John Langford, Alex Lamb
2023 J jnl
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval.
CoRR
Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain
2023 J jnl
PcLast: Discovering Plannable Continuous Latent States.
CoRR
Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miro Dudík, John Langford, Alex Lamb
2022 J jnl
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems.
J. Mach. Learn. Res.
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
2022 A* conf
Tsetlin Machine for Solving Contextual Bandit Problems.
NeurIPS
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
2022 J jnl
Tsetlin Machine for Solving Contextual Bandit Problems.
CoRR
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
2021 — conf
Mean-field approximation for large-population beauty-contest games.
CDC
Raihan Seraj, Jerome Le Ny, Aditya Mahajan
2020 J jnl
Approximate information state for approximate planning and reinforcement learning in partially observed systems.
CoRR
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
2019 J jnl
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning.
CoRR
Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup
2019 J jnl
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods.
CoRR
Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup