Ronen Eldan

Q: What Schools Are Affiliated With Ronen Eldan

Ronen Eldan is affiliated with the following schools: Weizmann Institute of Science, Open University of Israel, Princeton University, Tel Aviv University, University of Washington

Ronen Eldan's AcademicInfluence.com Rankings

Ronen Eldan

Mathematics

#1935

World Rank

#3068

Historical Rank

Probability Theory

#57

World Rank

#79

Historical Rank

Measure Theory

#3538

World Rank

#4178

Historical Rank

mathematics Degrees

Ronen Eldan

Physics

#6952

World Rank

#8946

Historical Rank

physics Degrees

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Mathematics
Physics

Ronen Eldan's Degrees

PhD Mathematics Princeton University
Bachelors Physics and Mathematics Tel Aviv University

Why Is Ronen Eldan Influential?

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According to Wikipedia, Ronen Eldan is an Israeli mathematician. Eldan is a professor at the Weizmann Institute of Science working on probability theory, mathematical analysis, theoretical computer science and the theory of machine learning. He received the 2018 Erdős Prize, the 2022 Blavatnik Award for Young Scientists and the 2023 New Horizons Breakthrough Prize in Mathematics. He was a speaker at the 2022 International Congress of Mathematicians.

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Ronen Eldan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The Power of Depth for Feedforward Neural Networks (2015) (627)
Kernel-based methods for bandit convex optimization (2016) (138)
Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo (2015) (111)
Thin Shell Implies Spectral Gap Up to Polylog via a Stochastic Localization Scheme (2012) (100)
Testing for high‐dimensional geometry in random graphs (2014) (99)
A two-sided estimate for the Gaussian noise stability deficit (2013) (78)
Sparks of Artificial General Intelligence: Early experiments with GPT-4 (2023) (75)
Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations (2016) (74)
Multi-scale exploration of convex functions and bandit convex optimization (2015) (65)
Approximately gaussian marginals and the hyperplane conjecture (2010) (60)
The entropic barrier: a simple and optimal universal self-concordant barrier (2014) (57)
Convex hulls in the hyperbolic space (2011) (44)
Efficient algorithms for discrepancy minimization in convex sets (2014) (38)
The CLT in high dimensions: Quantitative bounds via martingale embedding (2018) (35)
Finite-Time Analysis of Projected Langevin Monte Carlo (2015) (33)
Pointwise Estimates for Marginals of Convex Bodies (2007) (32)
A spectral condition for spectral gap: fast mixing in high-temperature Ising models (2020) (32)
Volumetric properties of the convex hull of an n-dimensional Brownian motion (2012) (31)
Decomposition of mean-field Gibbs distributions into product measures (2017) (28)
Stability of the logarithmic Sobolev inequality via the Föllmer process (2019) (28)
Dimensionality and the stability of the Brunn-Minkowski inequality (2011) (27)
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff (2015) (27)
Network size and weights size for memorization with two-layers neural networks (2020) (27)
On multiple peaks and moderate deviations for supremum of Gaussian field (2013) (26)
Depth Separations in Neural Networks: What is Actually Being Separated? (2019) (24)
Bounding the Norm of a Log-Concave Vector Via Thin-Shell Estimates (2013) (21)
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model (2014) (20)
Concentration on the Boolean hypercube via pathwise stochastic analysis (2019) (20)
Regularization under diffusion and anti-concentration of the information content (2014) (19)
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains (extended abstract) (2022) (19)
Exponential random graphs behave like mixtures of stochastic block models (2017) (18)
Unveiling Transformers with LEGO: a synthetic reasoning task (2022) (18)
Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors (2015) (17)
Transport-Entropy Inequalities and Curvature in Discrete-Space Markov Chains (2016) (17)
Information and dimensionality of anisotropic random geometric graphs (2016) (14)
Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation (2018) (13)
A Simple Approach to Chaos For p-Spin Models (2020) (12)
The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance (2018) (10)
Non-asymptotic approximations of neural networks by Gaussian processes (2021) (10)
Extremal points of high dimensional random walks and mixing times of a Brownian motion on the sphere (2011) (9)
Regularization under diffusion and anti-concentration of temperature (2014) (9)
Network size and size of the weights in memorization with two-layers neural networks (2020) (9)
A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body (2009) (8)
Diffusion-limited aggregation on the hyperbolic plane (2013) (7)
Krivine diffusions attain the Goemans-Williamson approximation ratio (2019) (6)
Log concavity and concentration of Lipschitz functions on the Boolean hypercube (2020) (6)
Exploratory distributions for convex functions (2018) (6)
Stability of the Shannon–Stam inequality via the Föllmer process (2019) (6)
Analysis of high-dimensional distributions using pathwise methods (2021) (6)
Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo (2018) (5)
Skorokhod Embeddings via Stochastic Flows on the Space of Measures (2013) (5)
Community detection and percolation of information in a geometric setting (2020) (5)
An efficiency upper bound for inverse covariance estimation (2011) (5)
The Sherrington-Kirkpatrick spin glass exhibits chaos (2020) (5)
Talagrand's Convolution Conjecture on Gaussian Space (2015) (4)
Noise stability on the Boolean hypercube via a renormalized Brownian motion (2022) (2)
A Dimension-Free Reverse Logarithmic Sobolev Inequality for Low-Complexity Functions in Gaussian Space (2019) (2)
Reduction From Non-Unique Games To Boolean Unique Games (2020) (2)
How many matrices can be spectrally balanced simultaneously? (2016) (2)
Stability of Talagrand's influence inequality (2019) (1)
On multiple peaks and moderate large deviations of Gaussian fields (2013) (1)
Lecture notes-From stochastic calculus to geometric inequalities (2017) (1)
Second-Order Bounds on Correlations Between Increasing Families (2019) (1)
An Optimal "It Ain't Over Till It's Over" Theorem (2022) (1)
Finding the correlation between two coordinates of a gaussian vector conditioned to a be on a section is Omega(d) (2011) (0)
Cone points of Brownian motion in arbitrary dimension (2018) (0)
Isoperimetric Inequalities Made Simpler (2022) (0)
Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations (2018) (0)
Submitted to the Annals of Probability CONE POINTS OF BROWNIAN MOTION IN ARBITRARY DIMENSION By (2018) (0)
Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation (2019) (0)
Convex hulls in the hyperbolic space (2011) (0)
PR ] 3 1 M ay 2 01 9 Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation (2019) (0)
Stability of the Shannon–Stam inequality via the Föllmer process (2020) (0)
Hit-and-run mixing via localization schemes (2022) (0)
How many matrices can be spectrally balanced simultaneously? (2018) (0)
Asymptotics for the Probability that the Origin is an Extremal Point of a High Dimensional Random Walk (2011) (0)
Depth Separations in Neural Networks: What is Actually Being Separated? (2021) (0)
A two-sided estimate for the Gaussian noise stability deficit (2014) (0)
Thin Shell Implies Spectral Gap Up to Polylog via a Stochastic Localization Scheme (2013) (0)
An efficiency upper bound for inverse covariance estimation (2015) (0)

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Other Resources About Ronen Eldan

en.wikipedia.org

What Schools Are Affiliated With Ronen Eldan?

Ronen Eldan is affiliated with the following schools:

Ronen Eldan's Academic­Influence.com Rankings

Ronen Eldan's Degrees

Why Is Ronen Eldan Influential?

Ronen Eldan's Published Works

Published Works

Other Resources About Ronen Eldan

What Schools Are Affiliated With Ronen Eldan?

Ronen Eldan's AcademicInfluence.com Rankings