Soumendu Sundar Mukherjee

According to our database, Soumendu Sundar Mukherjee authored at least 20 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning under Latent Group Sparsity via Diffusion on Networks.

Subhroshekhar Ghosh, Soumendu Sundar Mukherjee

CoRR, July, 2025

Optimal Transfer Learning for Missing Not-at-Random Matrix Completion.

Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar

CoRR, March, 2025

Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength.

Shirshendu Chatterjee, Soumendu Sundar Mukherjee, Tamojit Sadhukhan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

LASER: A new method for locally adaptive nonparametric regression.

Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar Mukherjee

CoRR, 2024

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing.

Hong T. M. Chu, Subhro Ghosh, Chi Thanh Lam, Soumendu Sundar Mukherjee

CoRR, 2024

Transfer Learning for Latent Variable Network Models.

Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals.

Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan

CoRR, 2023

Learning Networks from Gaussian Graphical Models and Gaussian Free Fields.

Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang Son Tran, Ujan Gangopadhyay

CoRR, 2023

Consistent model selection in the spiked Wigner model via AIC-type criteria.

Soumendu Sundar Mukherjee

CoRR, 2023

Wasserstein Projection Pursuit of Non-Gaussian Signals.

Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar

CoRR, 2023

2022

Learning with latent group sparsity via heat flow dynamics on networks.

Subhroshekhar Ghosh, Soumendu Sundar Mukherjee

CoRR, 2022

Morphological Network: How Far Can We Go with Morphological Neurons?

Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee, Bhabatosh Chanda

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

When random initializations help: a study of variational inference for community detection.

Purnamrita Sarkar, Y. X. Rachel Wang, Soumendu Sundar Mukherjee

J. Mach. Learn. Res., 2021

Changepoint Analysis of Topic Proportions in Temporal Text Data.

Avinandan Bose, Soumendu Sundar Mukherjee

CoRR, 2021

2020

Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences.

Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee

CoRR, 2020

2019

Graphon Estimation from Partially Observed Network Data.

Soumendu Sundar Mukherjee, Sayak Chakrabarti

CoRR, 2019

2018

On Some Inference Problems for Networks.

Soumendu Sundar Mukherjee

PhD thesis, 2018

Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues.

Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang, Bowei Yan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On clustering network-valued data.

Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Minimum Distance Estimation of Milky Way Model Parameters and Related Inference.

Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee

SIAM/ASA J. Uncertain. Quantification, 2015