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researcher

S. Mukherjee

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.IT1
same name
  • S. Mukherjee — 72 papers
  • S. Mukherjee — 41 papers, h 80
  • S. Mukherjee — 28 papers, h 39
  • S. Mukherjee — 27 papers
  • S. Mukherjee — 18 papers
  • S. Mukherjee — 16 papers, h 55

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedGeneral Information Bottleneck Objectives and their Applications to Machine Learning

4 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

cs.IT2020

Market-based Short-Term Allocations in Small Cell Wireless Networks

Sayandev Mukherjee, Bernardo A. Huberman

Mobile users (or UEs, to use 3GPP terminology) served by small cells in dense urban settings may abruptly experience a significant deterioration in their channel to their serving b…

cs.LG2019★ 4 cited

General Information Bottleneck Objectives and their Applications to Machine Learning

Sayandev Mukherjee

We view the Information Bottleneck Principle (IBP: Tishby et al., 1999; Schwartz-Ziv and Tishby, 2017) and Predictive Information Bottleneck Principle (PIBP: Still et al., 2007; Al…

cs.LG2019★ 4 cited

Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set

Sayandev Mukherjee

Zellner (1988) modeled statistical inference in terms of information processing and postulated the Information Conservation Principle (ICP) between the input and output of the info…

cs.LG2018

PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning

Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu +1

Deep neural networks have demonstrated cutting edge performance on various tasks including classification. However, it is well known that adversarially designed imperceptible pertu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.