Lenka Zdeborov'a

发表

Following states in temperature in the spherical s + p-spin glass model

A. Crisanti, F. Krzakala, Yifan Sun, 2012, 1204.3734.

Generalization of the cavity method for adiabatic evolution of Gibbs states

F. Krzakala, Lenka Zdeborov'a, 2010, 1003.2748.

Following Gibbs states adiabatically: the energy landscape of mean field glassy systems

F. Krzakala, Lenka Zdeborov'a, 2009, 0909.3820.

Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed

Florent Krzakala, Sebastian Goldt, Maria Refinetti, 2021, ICML.

Machine learning and the physical sciences

Naftali Tishby, L. Daudet, Lenka Zdeborov'a, 2019, Reviews of Modern Physics.

Potts glass on random graphs

F. Krzakala, Lenka Zdeborov'a, 2007, 0710.3336.

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions pdf

Eric Vanden-Eijnden, Lenka Zdeborov'a, Stefano Sarao Mannelli, 2020, NeurIPS.

Spectral bounds for the Ising ferromagnet on an arbitrary given graph

F. Krzakala, Lenka Zdeborov'a, Alaa Saade, 2016, 1609.08269.

Construction of optimal spectral methods in phase retrieval

Yue M. Lu, F. Krzakala, Lenka Zdeborov'a, 2020, MSML.

Random-field p-spin-glass model on regular random graphs

F. Krzakala, H. Nishimori, Lenka Zdeborov'a, 2011, 1101.5863.

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification

Florent Krzakala, Pierfrancesco Urbani, Francesca Mignacco, 2020, NeurIPS.

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification pdf

Florent Krzakala, Lenka Zdeborov'a, Pierfrancesco Urbani, 2020, NeurIPS.

Bayesian reconstruction of memories stored in neural networks from their connectivity

F. Krzakala, Lenka Zdeborov'a, N. Brunel, 2021, PLoS Comput. Biol..

Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime

F. Krzakala, Lenka Zdeborov'a, Bruno Loureiro, 2021, NeurIPS.

Storage capacity in symmetric binary perceptrons

Will Perkins, Lenka Zdeborov'a, Benjamin Aubin, 2019, Journal of Physics A: Mathematical and Theoretical.

Solvable Model for Inheriting the Regularization through Knowledge Distillation

Luca Saglietti, Lenka Zdeborov'a, L. Saglietti, 2020, MSML.

Epidemic mitigation by statistical inference from contact tracing data pdf

Florent Krzakala, Luca Dall'Asta, Alfredo Braunstein, 2020, Proceedings of the National Academy of Sciences.

Multilayer Modularity Belief Propagation to Assess Detectability of Community Structure

P. Mucha, Lenka Zdeborov'a, W. Weir, 2020, SIAM J. Math. Data Sci..

Learning curves of generic features maps for realistic datasets with a teacher-student model

Florent Krzakala, Bruno Loureiro, Sebastian Goldt, 2021, NeurIPS.

The Gaussian equivalence of generative models for learning with shallow neural networks

Florent Krzakala, Galen Reeves, Lenka Zdeborov'a, 2020, MSML.

The role of regularization in classification of high-dimensional noisy Gaussian mixture

Florent Krzakala, Yue M. Lu, Lenka Zdeborov'a, 2020, ICML.

Generalisation error in learning with random features and the hidden manifold model pdf

Florent Krzakala, Lenka Zdeborov'a, Federica Gerace, 2020, ICML.

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Yue M. Lu, F. Krzakala, Lenka Zdeborov'a, 2020, NeurIPS.

Large deviations for the perceptron model and consequences for active learning

Luca Saglietti, Lenka Zdeborov'a, Hugo Cui, 2019, MSML.

Exact asymptotics for phase retrieval and compressed sensing with random generative priors

F. Krzakala, Lenka Zdeborov'a, Benjamin Aubin, 2019, MSML.

Dense limit of the Dawid–Skene model for crowdsourcing and regions of sub-optimality of message passing algorithms

Christian Schmidt, Lenka Zdeborov'a, Lenka Zdeborov'a, 2018, Journal of Physics A: Mathematical and Theoretical.

Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model pdf

Florent Krzakala, Bruno Loureiro, Sebastian Goldt, 2021, ArXiv.

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval pdf

Florent Krzakala, Lenka Zdeborov'a, Chiara Cammarota, 2020, NeurIPS.

Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning

F. Krzakala, Lenka Zdeborov'a, A. Abbara, 2019, MSML.

Circular coloring of random graphs: statistical physics investigation

Lenka Zdeborov'a, Lenka Zdeborov'a, Christiane Schmidt, 2016, 1605.06945.

The Gaussian equivalence of generative models for learning with two-layer neural networks pdf

Florent Krzakala, Galen Reeves, Lenka Zdeborov'a, 2020, ArXiv.

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

Pierfrancesco Urbani, Francesca Mignacco, Lenka Zdeborová, 2021, Mach. Learn. Sci. Technol..

Phase retrieval in high dimensions: Statistical and computational phase transitions pdf

Florent Krzakala, Lenka Zdeborov'a, Bruno Loureiro, 2020, NeurIPS.

TRAMP: Compositional Inference with TRee Approximate Message Passing

F. Krzakala, Lenka Zdeborov'a, Benjamin Aubin, 2020, ArXiv.

Recovery thresholds in the sparse planted matching problem

Lenka Zdeborov'a, G. Semerjian, G. Sicuro, 2020, Physical review. E.

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

Stefano Sarao Mannelli, E. Vanden-Eijnden, Lenka Zdeborov'a, 2020, NeurIPS.

Generalisation error in learning with random features and the hidden manifold model

Florent Krzakala, Federica Gerace, Bruno Loureiro, 2020, ICML.

Glassy aspects of melting dynamics (On melting dynamics and the glass transition, Part I)

Lenka Zdeborov'a, Florent Krzakala, 2010, 1006.2480.

The Gaussian equivalence of generative models for learning with shallow neural networks

G. Reeves, Lenka Zdeborov'a, Sebastian Goldt, 2020, MSML.