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ORCIDSoumendu Sundar Mukherjee
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2020 – today
- 2024
[i10]Hong T. M. Chu
, Subhro Ghosh, Chi Thanh Lam, Soumendu Sundar Mukherjee:
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing. CoRR abs/2402.17595 (2024)- [i9]Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar:
Transfer Learning for Latent Variable Network Models. CoRR abs/2406.03437 (2024) - 2023
- [i8]Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar:
Wasserstein Projection Pursuit of Non-Gaussian Signals. CoRR abs/2302.12693 (2023) - [i7]Soumendu Sundar Mukherjee:
Consistent model selection in the spiked Wigner model via AIC-type criteria. CoRR abs/2307.12982 (2023) - [i6]Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang Son Tran, Ujan Gangopadhyay:
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields. CoRR abs/2308.02344 (2023) - [i5]Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan:
Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals. CoRR abs/2312.07839 (2023) - 2022
- [c3]Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee, Bhabatosh Chanda:
Morphological Network: How Far Can We Go with Morphological Neurons? BMVC 2022: 779 - [i4]Subhroshekhar Ghosh, Soumendu Sundar Mukherjee:
Learning with latent group sparsity via heat flow dynamics on networks. CoRR abs/2201.08326 (2022) - 2021
- [j2]Purnamrita Sarkar, Y. X. Rachel Wang, Soumendu Sundar Mukherjee:
When random initializations help: a study of variational inference for community detection. J. Mach. Learn. Res. 22: 22:1-22:46 (2021) - [i3]Avinandan Bose, Soumendu Sundar Mukherjee:
Changepoint Analysis of Topic Proportions in Temporal Text Data. CoRR abs/2112.00827 (2021) - 2020
- [i2]Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee:
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences. CoRR abs/2009.02112 (2020)
2010 – 2019
- 2019
- [i1]Soumendu Sundar Mukherjee, Sayak Chakrabarti:
Graphon Estimation from Partially Observed Network Data. CoRR abs/1906.00494 (2019) - 2018
- [b1]Soumendu Sundar Mukherjee:
On Some Inference Problems for Networks. University of California, Berkeley, USA, 2018 - [c2]Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang, Bowei Yan:
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues. NeurIPS 2018: 10717-10727 - 2017
- [c1]Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin:
On clustering network-valued data. NIPS 2017: 7071-7081 - 2015
- [j1]Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee:
Minimum Distance Estimation of Milky Way Model Parameters and Related Inference. SIAM/ASA J. Uncertain. Quantification 3(1): 91-115 (2015)
Coauthor Index
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