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ORCIDMohsin Hasan
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2020 – today
- 2026
[i7]Mohsin Hasan, Viktor Ohanesian, Artem Gazizov, Yoshua Bengio, Alán Aspuru-Guzik, Roberto Bondesan, Marta Skreta, Kirill Neklyudov:
Discrete Feynman-Kac Correctors. CoRR abs/2601.10403 (2026)- 2025
- [j2]Mohsin Hasan
, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen:
Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction. Eng. Appl. Artif. Intell. 154: 110757 (2025) - [j1]Mohsin Hasan, Wenjuan Wu, Xufeng Zhao:
SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction. J. Medical Syst. 49(1): 77 (2025) - [c4]Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose:
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. ICLR 2025 - [c3]Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. ICML 2025 - [i6]Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. CoRR abs/2502.06999 (2025) - [i5]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:
Solving Bayesian inverse problems with diffusion priors and off-policy RL. CoRR abs/2503.09746 (2025) - 2024
- [c2]Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. AAAI 2024: 12313-12321 - [c1]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:
Amortizing intractable inference in diffusion models for vision, language, and control. NeurIPS 2024 - [i4]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:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - [i3]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:
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. CoRR abs/2410.08134 (2024) - 2023
- [i2]Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. CoRR abs/2312.09817 (2023) - 2022
- [i1]Mohsin Hasan, Zehao Zhang, Kaiyang Guo, Mahdi Karami, Guojun Zhang, Xi Chen, Pascal Poupart:
Robust One Round Federated Learning with Predictive Space Bayesian Inference. CoRR abs/2206.09526 (2022)
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