| Amortizing intractable inference in diffusion models for vision, language, and control S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ... arXiv preprint arXiv:2405.20971, 2024 | 6 | 2024 |
| Calibrated one round federated learning with bayesian inference in the predictive space M Hasan, G Zhang, K Guo, X Chen, P Poupart Proceedings of the AAAI conference on artificial intelligence 38 (11), 12313 …, 2024 | 3 | 2024 |
| Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction J Rector-Brooks, M Hasan, Z Peng, Z Quinn, C Liu, S Mittal, N Dziri, ... arXiv preprint arXiv:2410.08134, 2024 | | 2024 |
| Methods, systems, and media for one-round federated learning with predictive space bayesian inference M Hasan, Z Zhang, P Poupart, G Zhang, X Chen US Patent App. 17/963,496, 2024 | | 2024 |
| Bayesian Federated Learning in Predictive Space M Hasan University of Waterloo, 2023 | | 2023 |
| Estimating Expectations without Sampling: Neural Stein Estimation M Hasan, D Zhang, C Ahmed, A Khouna, Y Bengio Sixth Symposium on Advances in Approximate Bayesian Inference-Non Archival Track, 0 | | |
