Soumendu Sundar Mukherjee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Venues

CoRR

SIAM/ASA J. Uncertain. Quantification

BMVC

J. Mach. Learn. Res.

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
Transfer Learning for Latent Variable Network Models. CoRR (2024)
Hong T. M. Chu, Subhro Ghosh, Chi Thanh Lam, Soumendu Sundar Mukherjee
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing. CoRR (2024)
Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan
Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals. CoRR (2023)
Soumendu Sundar Mukherjee
Consistent model selection in the spiked Wigner model via AIC-type criteria. CoRR (2023)
Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar
Wasserstein Projection Pursuit of Non-Gaussian Signals. CoRR (2023)
Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang Son Tran, Ujan Gangopadhyay
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields. CoRR (2023)
Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
Learning with latent group sparsity via heat flow dynamics on networks. CoRR (2022)
Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee, Bhabatosh Chanda
Morphological Network: How Far Can We Go with Morphological Neurons? BMVC (2022)
Avinandan Bose, Soumendu Sundar Mukherjee
Changepoint Analysis of Topic Proportions in Temporal Text Data. CoRR (2021)
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 (2021)
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 (2020)
Soumendu Sundar Mukherjee, Sayak Chakrabarti
Graphon Estimation from Partially Observed Network Data. CoRR (2019)
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang, Bowei Yan
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues. NeurIPS (2018)
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin
On clustering network-valued data. NIPS (2017)
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) (2015)

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Publication Activity (10 Years)

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Soumendu Sundar Mukherjee