| Expectation consistent approximate inference: Generalizations and convergence A Fletcher, M Sahraee-Ardakan, S Rangan, P Schniter 2016 IEEE International Symposium on Information Theory (ISIT), 190-194, 2016 | 78 | 2016 |
| Inference with deep generative priors in high dimensions P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher IEEE Journal on Selected Areas in Information Theory 1 (1), 336-347, 2020 | 50 | 2020 |
| Generalization error of generalized linear models in high dimensions M Emami, M Sahraee-Ardakan, P Pandit, S Rangan, A Fletcher International Conference on Machine Learning, 2892-2901, 2020 | 48 | 2020 |
| Asymptotics of MAP inference in deep networks P Pandit, M Sahraee, S Rangan, AK Fletcher 2019 IEEE International Symposium on Information Theory (ISIT), 842-846, 2019 | 26 | 2019 |
| Rigorous dynamics and consistent estimation in arbitrarily conditioned linear systems AK Fletcher, M Sahraee-Ardakan, S Rangan, P Schniter Advances in Neural Information Processing Systems 30, 2017 | 18 | 2017 |
| Matrix inference and estimation in multi-layer models P Pandit, M Sahraee Ardakan, S Rangan, P Schniter, AK Fletcher Advances in neural information processing systems 33, 22456-22467, 2020 | 11 | 2020 |
| Implicit bias of linear rnns M Emami, M Sahraee-Ardakan, P Pandit, S Rangan, AK Fletcher International Conference on Machine Learning, 2982-2992, 2021 | 8 | 2021 |
| Kernel methods and multi-layer perceptrons learn linear models in high dimensions M Sahraee-Ardakan, M Emami, P Pandit, S Rangan, AK Fletcher arXiv preprint arXiv:2201.08082, 2022 | 7 | 2022 |
| Asymptotics of ridge regression in convolutional models M Sahraee-Ardakan, T Mai, A Rao, RA Rossi, S Rangan, AK Fletcher International Conference on Machine Learning, 9265-9275, 2021 | 5 | 2021 |
| Generalized autoregressive linear models for discrete high-dimensional data P Pandit, M Sahraee-Ardakan, AA Amini, S Rangan, AK Fletcher IEEE Journal on Selected Areas in Information Theory 1 (3), 884-896, 2020 | 5 | 2020 |
| Inference in multi-layer networks with matrix-valued unknowns P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher arXiv preprint arXiv:2001.09396, 2020 | 5 | 2020 |
| Sparse multivariate bernoulli processes in high dimensions P Pandit, M Sahraee-Ardakan, A Amini, S Rangan, AK Fletcher The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 5 | 2019 |
| Input-output equivalence of unitary and contractive rnns M Emami, M Sahraee Ardakan, S Rangan, AK Fletcher Advances in Neural Information Processing Systems 32, 2019 | 4 | 2019 |
| Joint Dictionary Learning for Example-Based Image Super-Resolution M Sahraee-Ardakan, M Joneidi arXiv preprint arXiv:1701.03420, 2017 | 4 | 2017 |
| A study on clustering-based image denoising: From global clustering to local grouping M Joneidi, M Sadeghi, M Sahraee-Ardakan, M Babaie-Zadeh, C Jutten 2014 22nd European Signal Processing Conference (EUSIPCO), 1657-1661, 2014 | 4 | 2014 |
| Low-Rank Nonlinear Decoding of -ECoG from the Primary Auditory Cortex M Emami, M Sahraee-Ardakan, P Pandit, AK Fletcher, S Rangan, ... arXiv preprint arXiv:2005.05053, 2020 | 3 | 2020 |
| Matrix inference and estimation in multi-layer models P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124004, 2021 | 2 | 2021 |
| High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence P Pandit, M Sahraee-Ardakan, AA Amini, S Rangan, AK Fletcher arXiv preprint arXiv:1903.09631, 2019 | 2 | 2019 |
| Estimation and learning of dynamic nonlinear networks (DyNNets) M Sahraee-Ardakan, AK Fletcher 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 2 | 2017 |
| Equivalence of Kernel Methods and Linear Models in High Dimensions MS Ardakan University of California, Los Angeles, 2022 | | 2022 |
Alyson "Allie" K. FletcherAssociate Professor, UCLA在 g.ucla.edu 的电子邮件经过验证
