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Pankaj Mehta

40 papers hereh-index 335.8k citations93 works total

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

author position
  • first author10
  • middle author8
  • last author22

Across the 40 of 40 papers where every author was matched, so the position is known.

fields
  • q-bio.PE11
  • q-bio.MN9
  • cond-mat.stat-mech3
  • physics.bio-ph3
  • q-bio.QM3
  • cond-mat.dis-nn2
same name
  • Pankaj Mehta — 11 papers, h 8
  • Pankaj Mehta — 4 papers, h 4
  • Pankaj Mehta — 4 papers, h 3
  • Pankaj Mehta — 3 papers, h 1
  • Pankaj Mehta — 1 paper, h 3
  • Pankaj Mehta — 1 paper, h 2

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
20072021
most citedA high-bias, low-variance introduction to Machine Learning for physicists

932 citations · 3.1k across the 40 of their papers we have counts for

collaborators
Showing cond-mat.stat-mechShow all

3 papers · 1 filter

cond-mat.stat-mech2018★ 25 cited

Constrained optimization as ecological dynamics with applications to random quadratic programming in high dimensions

Pankaj Mehta, Wenping Cui, Ching-Hao Wang +1

Quadratic programming (QP) is a common and important constrained optimization problem. Here, we derive a surprising duality between constrained optimization with inequality constra…

cond-mat.stat-mech2014

Bayesian feature selection with strongly-regularizing priors maps to the Ising Model

Charles K. Fisher, Pankaj Mehta

Identifying small subsets of features that are relevant for prediction and/or classification tasks is a central problem in machine learning and statistics. The feature selection ta…

cond-mat.stat-mech2010★ 25 cited

Statistical mechanics of transcription-factor binding site discovery using Hidden Markov Models

Pankaj Mehta, David Schwab, Anirvan M. Sengupta

Hidden Markov Models (HMMs) are a commonly used tool for inference of transcription factor (TF) binding sites from DNA sequence data. We exploit the mathematical equivalence betwee…

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