◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Sayan Mukherjee

46 papers hereh-index 314.1k citations122 works total

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

author position
  • sole author2
  • first author3
  • middle author20
  • last author20

Across the 45 of 46 papers where every author was matched, so the position is known.

fields
  • math.ST10
  • math.CO6
  • stat.ML6
  • stat.ME5
  • math.PR3
  • cs.SD2
same name
  • Sayan Mukherjee — 27 papers, h 43
  • Sayan Mukherjee — 9 papers, h 11
  • Sayan Mukherjee — 3 papers, h 1
  • Sayan Mukherjee — 3 papers, h 2
  • Sayan Mukherjee — 2 papers, h 0
  • Sayan Mukherjee — 2 papers, h 1

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
20092022
most citedTopological consistency via kernel estimation

62 citations · 268 across the 38 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CG2018★ 3 cited

Multiple testing with persistent homology

Mikael Vejdemo-Johansson, Sayan Mukherjee

In this paper we propose a computationally efficient multiple hypothesis testing procedure for persistent homology. The computational efficiency of our procedure is based on the ob…

stat.ML2018

Subspace Clustering through Sub-Clusters

Weiwei Li, Jan Hannig, Sayan Mukherjee

The problem of dimension reduction is of increasing importance in modern data analysis. In this paper, we consider modeling the collection of points in a high dimensional space as…

math.AT2018★ 5 cited

How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms

Justin Curry, Sayan Mukherjee, Katharine Turner

In this paper we consider two topological transforms that are popular in applied topology: the Persistent Homology Transform (PHT) and the Euler Characteristic Transform (ECT). Bot…

stat.ML2018★ 2 cited

Learning Integral Representations of Gaussian Processes

Zilong Tan, Sayan Mukherjee

We propose a representation of Gaussian processes (GPs) based on powers of the integral operator defined by a kernel function, we call these stochastic processes integral Gaussian…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.