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ORCIDSubhroshekhar Ghosh
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2020 – today
- 2023
[j5]Subhroshekhar Ghosh, Philippe Rigollet:
Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem. Found. Comput. Math. 23(5): 1851-1898 (2023)- [j4]Subhroshekhar Ghosh
, Sanjay Chaudhuri, Ujan Gangopadhyay:
Maximum Likelihood Estimation Under Constraints: Singularities and Random Critical Points. IEEE Trans. Inf. Theory 69(12): 7976-7997 (2023) - [i9]Subhroshekhar Ghosh, Aaron Y. R. Low, Yong Sheng Soh, Zhuohang Feng, Brendan K. Y. Tan:
Dictionary Learning under Symmetries via Group Representations. CoRR abs/2305.19557 (2023) - 2022
- [j3]Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang:
Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos. IEEE Trans. Inf. Theory 68(5): 3234-3252 (2022) - [j2]Subhroshekhar Ghosh, Naoto Miyoshi, Tomoyuki Shirai:
Disordered Complex Networks: Energy Optimal Lattices and Persistent Homology. IEEE Trans. Inf. Theory 68(8): 5513-5534 (2022) - [j1]Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun:
Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets. IEEE Trans. Signal Process. 70: 1104-1117 (2022) - [c6]Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett:
Generative Principal Component Analysis. ICLR 2022 - [i8]Subhroshekhar Ghosh, Soumendu Sundar Mukherjee:
Learning with latent group sparsity via heat flow dynamics on networks. CoRR abs/2201.08326 (2022) - [i7]Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett:
Generative Principal Component Analysis. CoRR abs/2203.09693 (2022) - 2021
- [c5]Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett:
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. ITW 2021: 1-6 - [c4]Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin:
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. NeurIPS 2021: 16226-16237 - [c3]Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett:
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. NeurIPS 2021: 17656-17668 - [i6]Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun:
Estimation and inference of signals via the stochastic geometry of spectrogram level sets. CoRR abs/2105.02471 (2021) - [i5]Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett:
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. CoRR abs/2106.15358 (2021) - [i4]Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett:
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. CoRR abs/2108.03570 (2021) - [i3]Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin:
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. CoRR abs/2112.06007 (2021) - 2020
- [c2]Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang:
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. ICML 2020: 3545-3555 - [i2]Rémi Bardenet, Subhroshekhar Ghosh:
Learning from DPPs via Sampling: Beyond HKPV and symmetry. CoRR abs/2007.04287 (2020) - [i1]Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang:
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. CoRR abs/2008.03038 (2020)
2010 – 2019
- 2017
- [c1]Subhroshekhar Ghosh, Thomas M. Liggett, Robin Pemantle:
Multivariate CLT follows from strong Rayleigh property. ANALCO 2017: 139-147
Coauthor Index
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