2026 Lenka Zdeborová: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	55	4261	4143	96	96	181	14164

Overview

Lenka Zdeborová is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research focuses on the intersection of computer science and physics, with substantial contributions to artificial intelligence, statistics, and nonlinear physics.

Their body of work spans several key subfields, including:

Artificial Intelligence
Statistics and Probability
Statistical and Nonlinear Physics
Computational Mechanics
Signal Processing

Zdeborová's research topics cover a range of theoretical and applied areas, notably:

Neural Networks and Applications
Gaussian Processes and Bayesian Inference
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
Theoretical and Computational Physics
Blind Source Separation Techniques
Stochastic Gradient Optimization Techniques

The scientist has published extensively in prominent venues, including:

arXiv (Cornell University)
Journal of Statistical Mechanics Theory and Experiment
Physical Review E
Machine Learning Science and Technology
Journal of Physics A Mathematical and Theoretical

Among the recent publications under Zdeborová's name are:

Understanding deep learning is also a job for physicists, 2020, Nature Physics
Generalisation error in learning with random features and the hidden manifold model*, 2021, Journal of Statistical Mechanics Theory and Experiment
Learning curves of generic features maps for realistic datasets with a teacher-student model*, 2022, Journal of Statistical Mechanics Theory and Experiment
The Gaussian equivalence of generative models for learning with shallow neural networks, 2020, arXiv (Cornell University)
Generalisation error in learning with random features and the hidden manifold model, 2020, arXiv (Cornell University)

Zdeborová frequently collaborates with researchers including:

Florent Krza̧kała
Bruno Loureiro
Hugo Cui
Emanuele Troiani
Freya Behrens

Best Publications

Machine learning and the physical sciences

Giuseppe Carleo;J. Ignacio Cirac;Kyle Cranmer;Laurent Daudet

2392
Citations
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications.

Aurelien Decelle;Florent Krzakala;Cristopher Moore;Lenka Zdeborová

915
Citations
Spectral redemption in clustering sparse networks

Florent Krzakala;Cristopher Moore;Elchanan Mossel;Joseph Neeman

743
Citations
Gibbs states and the set of solutions of random constraint satisfaction problems

Florent Krzakała;Andrea Montanari;Federico Ricci-Tersenghi;Guilhem Semerjian

564
Citations
Statistical physics of inference: thresholds and algorithms

Lenka Zdeborová;Florent Krzakala

467
Citations
Inference and phase transitions in the detection of modules in sparse networks.

Aurelien Decelle;Florent Krzakala;Cristopher Moore;Lenka Zdeborová

456
Citations
Inferring the origin of an epidemic with a dynamic message-passing algorithm.

Andrey Y. Lokhov;Marc Mézard;Hiroki Ohta;Lenka Zdeborová

375
Citations
Statistical-Physics-Based Reconstruction in Compressed Sensing

Florent Krzakala;Marc Mézard;François Sausset;Yifan Sun;Yifan Sun

362
Citations
Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices

Florent Krzakala;Marc Mézard;Francois Sausset;Yifan Sun;Yifan Sun

354
Citations
Percolation on Sparse Networks

Brian Karrer;Mark E. J. Newman;Lenka Zdeborová

321
Citations
Phase transitions in the coloring of random graphs

Lenka Zdeborová;Florent Krzakala

301
Citations
Network dismantling

Alfredo Braunstein;Alfredo Braunstein;Luca Dall’Asta;Luca Dall’Asta;Guilhem Semerjian;Lenka Zdeborová

294
Citations
Optimal errors and phase transitions in high-dimensional generalized linear models

Jean Barbier;Florent Krzakala;Nicolas Macris;Léo Miolane

247
Citations
Fast and simple decycling and dismantling of networks.

Lenka Zdeborová;Pan Zhang;Hai-Jun Zhou

221
Citations
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula

jean barbier;Mohamad Dia;Nicolas Macris;Florent Krzakala

187
Citations
The number of matchings in random graphs

Lenka Zdeborová;Marc Mézard

177
Citations
Adaptive damping and mean removal for the generalized approximate message passing algorithm

Jeremy Vila;Philip Schniter;Sundeep Rangan;Florent Krzakala

167
Citations
Constrained low-rank matrix estimation: phase transitions, approximate message passing and applications

Thibault Lesieur;Florent Krzakala;Florent Krzakala;Lenka Zdeborová

165
Citations
Entropy and mutual information in models of deep neural networks

Marylou Gabrié;Andre Manoel;Clément Luneau;Jean Barbier

161
Citations
Hiding Quiet Solutions in Random Constraint Satisfaction Problems

Florent Krzakala;Florent Krzakala;Lenka Zdeborová

160
Citations
Spectral Clustering of graphs with the Bethe Hessian

Alaa Saade;Florent Krzakala;Lenka Zdeborova

144
Citations
Modelling the influence of data structure on learning in neural networks: the hidden manifold model

Sebastian Goldt;Marc Mézard;Florent Krzakala;Lenka Zdeborová

50
Citations

Frequent Co-Authors

Florent Krzakala École Polytechnique Fédérale de Lausanne

Marc Lelarge École Normale Supérieure

Cristopher Moore Santa Fe Institute

Yue M. Lu Beijing University of Posts and Telecommunications

Michael I. Jordan University of California, Berkeley

Michael Chertkov University of Arizona

Peter J. Mucha Dartmouth College

Andrea Crisanti University of Padua

Philip Schniter The Ohio State University

Henry D. Pfister Duke University

External Links

Google Scholar page

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