Mohsin Hasan

According to our database, Mohsin Hasan authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Discrete Feynman-Kac Correctors.

Mohsin Hasan, Viktor Ohanesian, Artem Gazizov, Yoshua Bengio, Alán Aspuru-Guzik, Roberto Bondesan, Marta Skreta, Kirill Neklyudov

CoRR, January, 2026

2025

SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction.

Mohsin Hasan, Wenjuan Wu, Xufeng Zhao

J. Medical Syst., December, 2025

Solving Bayesian inverse problems with diffusion priors and off-policy RL.

Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CoRR, March, 2025

Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction.

Mohsin Hasan, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen

Eng. Appl. Artif. Intell., 2025

Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models.

Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose

CoRR, 2024

Amortizing intractable inference in diffusion models for vision, language, and control.

Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space.

Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Robust One Round Federated Learning with Predictive Space Bayesian Inference.

Mohsin Hasan, Zehao Zhang, Kaiyang Guo, Mahdi Karami, Guojun Zhang, Xi Chen, Pascal Poupart

CoRR, 2022