Soumendu Sundar Mukherjee
Soumendu Sundar Mukherjee
INSPIRE Faculty at ISRU at ISI, Kolkata
Verified email at - Homepage
Cited by
Cited by
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
arXiv preprint arXiv:1606.02401, 2016
Mean field for the stochastic blockmodel: Optimization landscape and convergence issues
SS Mukherjee, P Sarkar
Advances in neural information processing systems, 2018
On some inference problems for networks
SS Mukherjee
UC Berkeley, 2018
Minimum distance estimation of milky way model parameters and related inference
S Banerjee, A Basu, S Bhattacharya, S Bose, D Chakrabarty, ...
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 91-115, 2015
Bulk behaviour of Schur-Hadamard products of symmetric random matrices
A Bose, SS Mukherjee
Two provably consistent divide and conquer clustering algorithms for large networks
SS Mukherjee, P Sarkar, PJ Bickel
arXiv preprint arXiv:1708.05573, 2017
When random initializations help: a study of variational inference for community detection
P Sarkar, YXR Wang, SS Mukherjee
Journal of Machine Learning Research 22 (22), 1-46, 2021
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
S Bhattacharyya, S Chatterjee, SS Mukherjee
arXiv preprint arXiv:2009.02112, 2020
Distribution of Eigenvalues of Matrix Ensembles arising from Wigner and Palindromic Toeplitz Blocks
K Blackwell, N Borade, A Bose, CD VI, N Luntzlara, R Ma, SJ Miller, ...
arXiv preprint arXiv:2102.05839, 2021
Some characterisation results on classical and free Poisson thinning
SS Mukherjee
arXiv preprint arXiv:2101.04105, 2021
High dimensional PCA: a new model selection criterion
A Chakraborty, SS Mukherjee, A Chakrabarti
arXiv preprint arXiv:2011.04470, 2020
Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks
SK De, SS Mukherjee
arXiv preprint arXiv:2008.09083, 2020
-convergence of Schur-Hadamard products of independent non-symmetric random matrices
SS Mukherjee
arXiv preprint arXiv:2008.05916, 2020
Construction of product -probability spaces via free cumulants
A Bose, SS Mukherjee
arXiv preprint arXiv:2007.10989, 2020
Graphon Estimation from Partially Observed Network Data
SS Mukherjee, S Chakrabarti
arXiv preprint arXiv:1906.00494, 2019
Morphological Network: How Far Can We Go with Morphological Neurons?
R Mondal, SS Mukherjee, S Santra, B Chanda
arXiv preprint arXiv:1901.00109, 2019
Two provably consistent divide and conquer clustering algorithms for large networks
S Sundar Mukherjee, P Sarkar, PJ Bickel
arXiv e-prints, arXiv: 1708.05573, 2017
Limiting spectral distribution of a class of Hankel type random matrices
A Basak, A Bose, SS Mukherjee
Random Matrices: Theory and Applications 4 (03), 1550010, 2015
Bulk behaviour of skew-symmetric patterned random matrices
A Bose, SS Mukherjee
arXiv preprint arXiv:1402.3683, 2014
On Pseudo-Hermitian Hamiltonians
SS Mukherjee, P Roy
arXiv preprint arXiv:1401.5255, 2014
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