| Invertible convolutional flow M Karami, D Schuurmans, J Sohl-Dickstein, L Dinh, D Duckworth Advances in Neural Information Processing Systems 32, 2019 | 47 | 2019 |
| Channel adaptive power allocation and pilot optimization for OFDM systems M Karami, NC Beaulieu 2012 IEEE Global Communications Conference (GLOBECOM), 4893-4898, 2012 | 15 | 2012 |
| Deep probabilistic canonical correlation analysis M Karami, D Schuurmans Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8055-8063, 2021 | 9 | 2021 |
| Pilot symbol parameter optimization based on imperfect channel state prediction for OFDM systems M Karami, A Olfat, NC Beaulieu IEEE transactions on communications 61 (6), 2557-2567, 2013 | 9 | 2013 |
| DP-VAE: Differentially Private Pre-trained Variational Autoencoders D Jiang, G Zhang, M Karami, X Chen, Y Shao, Y Yu arXiv preprint arXiv:2208.03409, 2022 | 8 | 2022 |
| Generative convolutional flow for density estimation M Karami, L Dinh, D Duckworth, J Sohl-Dickstein, D Schuurmans Workshop on Bayesian Deep Learning NeurIPS 2018, 2018 | 6 | 2018 |
| Variational inference for deep probabilistic canonical correlation analysis M Karami, D Schuurmans arXiv preprint arXiv:2003.04292, 2020 | 5 | 2020 |
| Multi-view matrix factorization for linear dynamical system estimation M Karami, M White, D Schuurmans, C Szepesvári Advances in Neural Information Processing Systems 30, 2017 | 5 | 2017 |
| Higen: Hierarchical graph generative networks M Karami arXiv preprint arXiv:2305.19337, 2023 | 3 | 2023 |
| Federated Bayesian neural regression: A scalable global federated gaussian process H Yu, K Guo, M Karami, X Chen, G Zhang, P Poupart arXiv preprint arXiv:2206.06357, 2022 | 3 | 2022 |
| Symmetric convolutional flow M Karami, D Schuurmans, J Sohl-Dickstein, L Dinh, D Duckworth Workshop on Invertible Neural Nets and Normalizing Flows (INNF), ICML, 2019 | 2 | 2019 |
| Deep generative multi-view learning M Karami Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 1 | 2020 |
| Fast blind adaptive channel shortening using signal subspace M Karami, A Olfat VTC Spring 2008-IEEE Vehicular Technology Conference, 2621-2625, 2008 | 1 | 2008 |
| Hierarchical Multi-Resolution Graph Generation Networks M Karami, J Luo | | 2022 |
| Robust One Round Federated Learning with Predictive Space Bayesian Inference M Hasan, Z Zhang, K Guo, M Karami, G Zhang, X Chen, P Poupart arXiv preprint arXiv:2206.09526, 2022 | | 2022 |
| Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems M Karami | | 2020 |
| Pilot Symbol Assisted Adaptive Modulation for OFDM Systems with Imperfect Channel State Information NCB Mahdi Karami, Ali Olfat 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010 | | 2010 |
| Optimal Linear Dynamical System Identification M Karami, M White, D Schuurmans | | |
Dale SchuurmansUniversity of Alberta, Google DeepMindVerified email at cs.ualberta.ca
