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Elchanan Mossel

Elchanan Mossel

D-Index & Metrics

Computer Science

D-Index
66
Citations
13909
World Ranking
2363
National Ranking
1175

Mathematics

D-Index
66
Citations
14023
World Ranking
367
National Ranking
198

Research.com Recognitions

  • 2019 - Fellow of the American Mathematical Society For contributions to probability, combinatorics, computing, and especially the interface between them.
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Elchanan Mossel is a researcher primarily affiliated with MIT in the United States. Their work spans across the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Statistics and Probability, and Management Science and Operations Research. The researcher's publications address a range of topics within these areas.

Notable topics in Mossel's research include:

  • Complex Network Analysis Techniques
  • Machine Learning and Algorithms
  • Complexity and Algorithms in Graphs
  • Opinion Dynamics and Social Influence
  • Markov Chains and Monte Carlo Methods
  • Bayesian Modeling and Causal Inference
  • Game Theory and Applications

Recent papers authored or coauthored by Mossel cover various aspects of graph theory, opinion dynamics, and related computational problems. Examples include:

  • Seeded graph matching via large neighborhood statistics, 2020, Random Structures and Algorithms
  • Minimum Neighboring Degree Realization in Graphs and Trees, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Frequent coauthors in Mossel's scholarly output are Ilias Zadik, Colin Sandon, Youngtak Sohn, Ali Jadbabaie, and Julia Gaudio. Collaboration with these researchers appears consistently across multiple publications.

Mossel's research has been published in several venues with varying frequencies. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Random Structures and Algorithms
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Operations Research
  • IEEE Transactions on Information Theory

Elchanan Mossel has been recognized with honors such as the Fellowship of the American Mathematical Society in 2019 for contributions spanning probability, combinatorics, and computing. Additionally, they have been named a Fellow of the Alfred P. Sloan Foundation in 2005.

Best Publications

  • Optimal Inapproximability Results for MAX-CUT and Other 2-Variable CSPs?

    Subhash Khot;Guy Kindler;Elchanan Mossel;Ryan O’Donnell

  • Spectral redemption in clustering sparse networks

    Florent Krzakala;Cristopher Moore;Elchanan Mossel;Joseph Neeman

  • On approximately fair allocations of indivisible goods

    R. J. Lipton;E. Markakis;E. Mossel;A. Saberi

  • Reconstruction and estimation in the planted partition model

    Elchanan Mossel;Joseph Neeman;Allan Sly;Allan Sly

  • Noise stability of functions with low influences: Invariance and optimality

    Elchanan Mossel;Ryan O’Donnell;Krzysztof Oleszkiewicz

  • A Proof of the Block Model Threshold Conjecture

    Elchanan Mossel;Joe Neeman;Allan Sly

  • On the submodularity of influence in social networks

    Elchanan Mossel;Sebastien Roch

  • Stochastic Block Models and Reconstruction

    Elchanan Mossel;Joe Neeman;Allan Sly

  • Incomplete Lineage Sorting: Consistent Phylogeny Estimation from Multiple Loci

    Elchanan Mossel;Sebastien Roch

  • Phylogenetic MCMC Algorithms Are Misleading on Mixtures of Trees

    Elchanan Mossel;Elchanan Mossel;Eric Vigoda;Eric Vigoda

  • Noisy sorting without resampling

    Mark Braverman;Elchanan Mossel

  • Random biochemical networks: the probability of self-sustaining autocatalysis.

    Elchanan Mossel;Mike Steel

  • Glauber dynamics on trees and hyperbolic graphs

    Noam Berger;Claire Kenyon;Elchanan Mossel;Yuval Peres

  • Gaussian Bounds for Noise Correlation of Functions

    Elchanan Mossel;Elchanan Mossel

  • Belief propagation, robust reconstruction and optimal recovery of block models

    Elchanan Mossel;Elchanan Mossel;Joe Neeman;Joe Neeman;Allan M. Sly;Allan M. Sly

  • Noise stability of functions with low influences: Invariance and optimality

    E. Mossel;R. O'Donnell;K. Oleszkiewicz

  • Majority dynamics and aggregation of information in social networks

    Elchanan Mossel;Joe Neeman;Omer Tamuz

  • Learning functions of k relevant variables

    Elchanan Mossel;Ryan O'Donnell;Rocco A. Servedio

  • Phase transitions in phylogeny

    Elchanan Mossel

  • Information flow on trees

    Elchanan Mossel;Yuval Peres

  • Optimal inapproximability results for MAX-CUT and other 2-variable CSPs?

    S. Khot;G. Kindler;E. Mossel;R. O'Donnell

  • Glauber dynamics on trees and hyperbolic graphs

    C. Kenyon;E. Mossel;Y. Peres

Frequent Co-Authors

Allan Sly
Allan Sly Princeton University
Ryan O'Donnell
Ryan O'Donnell Carnegie Mellon University
Mike Steel
Mike Steel University of Canterbury
Luca Trevisan
Luca Trevisan Bocconi University
Amir Shpilka
Amir Shpilka Tel Aviv University
Nathan Keller
Nathan Keller Bar-Ilan University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Gil Kalai
Gil Kalai Hebrew University of Jerusalem

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