| Plug in estimation in high dimensional linear inverse problems: A rigorous analysis AK Fletcher, P Pandit, S Rangan, S Sarkar, P Schniter Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124021, 2019 | 58 | 2019 |
| 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 | 29 | 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 | 21 | 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 | 19 | 2019 |
| Structural segmentation of Hindustani concert audio with Posterior features P Verma, TP Vinutha, P Pandit, P Rao International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 | 14 | 2015 |
| Refinement of the equilibrium of public goods games over networks: Efficiency and effort of specialized equilibria P Pandit, AA Kulkarni Journal of Mathematical Economics 79, 125-139, 2018 | 8 | 2018 |
| 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, 2020 | 6 | 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 | 4 | 2021 |
| Discount-based pricing and capacity planning for ev charging under stochastic demand P Pandit, S Coogan 2018 Annual American Control Conference (ACC), 6273-6278, 2018 | 4 | 2018 |
| 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 | 3 | 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 | 3 | 2020 |
| Low-rank nonlinear decoding of -ECoG from the primary auditory cortex M Emami, M Sahraee-Ardakan, P Pandit, AK Fletcher, S Rangan, ... Conference on Cognitive Computational Neuroscience, 2018 | 3 | 2018 |
| A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs P Pandit, AA Kulkarni Discrete Applied Mathematics 244, 155-169, 2018 | 3 | 2018 |
| 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 | 2 | 2019 |
| 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 |
| 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 | 1 | 2021 |
| Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting N Mallinar, JB Simon, A Abedsoltan, P Pandit, M Belkin, P Nakkiran arXiv preprint arXiv:2207.06569, 2022 | | 2022 |
| A note on Linear Bottleneck networks and their Transition to Multilinearity L Zhu, P Pandit, M Belkin arXiv preprint arXiv:2206.15058, 2022 | | 2022 |
| Kernel Ridgeless Regression is Inconsistent for Low Dimensions D Beaglehole, M Belkin, P Pandit arXiv preprint arXiv:2205.13525, 2022 | | 2022 |
| 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 | | 2022 |
Sundeep RanganProfessor, ECE, New York University and Associate Director, NYU WirelessVerified email at nyu.edu
