Florent Krzakala

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Reservoir Computing meets Recurrent Kernels and Structured Transforms pdf

Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, 2020, NeurIPS.

Scaling Up Echo-State Networks With Multiple Light Scattering

Jonathan Dong, Florent Krzakala, Sylvain Gigan, 2016, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system pdf

Florent Krzakala, Laurent Daudet, Eric W. Tramel, 2015, ArXiv.

Statistical and computational phase transitions in spiked tensor estimation

Florent Krzakala, Marc Lelarge, Lenka Zdeborová, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation

Florent Krzakala, Lenka Zdeborová, Alaa Saade, 2015, NIPS.

Decoding From Pooled Data: Phase Transitions of Message Passing

Michael I. Jordan, Florent Krzakala, Lenka Zdeborová, 2017, IEEE Transactions on Information Theory.

Statistical physics of inference: thresholds and algorithms

Florent Krzakala, Lenka Zdeborová, F. Krzakala, 2015, ArXiv.

Optical Reservoir Computing Using Multiple Light Scattering for Chaotic Systems Prediction

Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, 2019, IEEE Journal of Selected Topics in Quantum Electronics.

On convergence of approximate message passing

Florent Krzakala, Francesco Caltagirone, Lenka Zdeborová, 2014, 2014 IEEE International Symposium on Information Theory.

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

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

Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment pdf

Florent Krzakala, Igor Carron, Sylvain Gigan, 2020, ArXiv.

Compressed sensing and Approximate Message Passing with spatially-coupled Fourier and Hadamard matrices pdf

Florent Krzakala, Christophe Schülke, Jean Barbier, 2013, ArXiv.

MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel

Florent Krzakala, Lenka Zdeborová, Thibault Lesieur, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Phase transitions in sparse PCA

Florent Krzakala, Lenka Zdeborová, Thibault Lesieur, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Robust phase retrieval with the swept approximate message passing (prSAMP) algorithm pdf

Florent Krzakala, Laurent Daudet, Boshra Rajaei, 2016, Image Process. Line.

Phase Transitions in the Coloring of Random Graphs

Florent Krzakala, Lenka Zdeborová, F. Krzakala, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Approximate message-passing for convex optimization with non-separable penalties pdf

Florent Krzakala, Lenka Zdeborová, Gaël Varoquaux, 2018, ArXiv.

Model selection for degree-corrected block models

Cristopher Moore, Florent Krzakala, Lenka Zdeborová, 2012, Journal of statistical mechanics.

Information-theoretic thresholds from the cavity method

Florent Krzakala, Lenka Zdeborová, Will Perkins, 2016, STOC.

Light-in-the-loop: using a photonics co-processor for scalable training of neural networks pdf

Florent Krzakala, Igor Carron, Sylvain Gigan, 2020, ArXiv.

Performance Limits for Noisy Multimeasurement Vector Problems

Florent Krzakala, Junan Zhu, Dror Baron, 2016, IEEE Transactions on Signal Processing.

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

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

Replica analysis and approximate message passing decoder for superposition codes

Florent Krzakala, Jean Barbier, F. Krzakala, 2014, 2014 IEEE International Symposium on Information Theory.

Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method pdf

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2018, ArXiv.

Multi-layer generalized linear estimation

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

A Landscape Analysis of Constraint Satisfaction Problems

Florent Krzakala, Jorge Kurchan, F. Krzakala, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media

Jonathan Dong, Florent Krzakala, Sylvain Gigan, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction pdf

Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, 2020, Physical Review X.

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

Florent Krzakala, Lenka Zdeborov'a, Alia Abbara, 2020, MSML.

Spectral Clustering of graphs with the Bethe Hessian

Florent Krzakala, Lenka Zdeborová, Alaa Saade, 2014, NIPS.

The mutual information in random linear estimation

Nicolas Macris, Florent Krzakala, Jean Barbier, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Variational free energies for compressed sensing

Florent Krzakala, Lenka Zdeborová, Eric W. Tramel, 2014, 2014 IEEE International Symposium on Information Theory.

Spectral detection on sparse hypergraphs

Florent Krzakala, Francesco Caltagirone, Lenka Zdeborová, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Random projections through multiple optical scattering: Approximating Kernels at the speed of light

Florent Krzakala, Francesco Caltagirone, Laurent Daudet, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach

Florent Krzakala, Laurent Daudet, Eric W. Tramel, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Phase Retrieval for High Dimensions: A Block-Based Approach

Florent Krzakala, Laurent Daudet, Boshra Rajaei, 2016, IEEE Signal Processing Letters.

Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization

Florent Krzakala, Lenka Zdeborová, Ayaka Sakata, 2014, IEEE Transactions on Information Theory.

Scampi: a robust approximate message-passing framework for compressive imaging pdf

Florent Krzakala, Eric W. Tramel, Jean Barbier, 2015, ArXiv.

Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Generalisation dynamics of online learning in over-parameterised neural networks pdf

Florent Krzakala, Lenka Zdeborová, Andrew M. Saxe, 2019, ArXiv.

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures pdf

Florent Krzakala, Julien Launay, Iacopo Poli, 2020, NeurIPS.

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

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

Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime

Florent Krzakala, Giulio Biroli, St'ephane d'Ascoli, 2020, ICML.

Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering

Jess Banks, Cristopher Moore, Florent Krzakala, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Blind calibration for compressed sensing: state evolution and an online algorithm pdf

Jean Barbier, Florent Krzakala, Lenka Zdeborová, 2019, Journal of Physics A: Mathematical and Theoretical.

The committee machine: computational to statistical gaps in learning a two-layers neural network

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2018, NeurIPS.

Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model pdf

Florent Krzakala, Lenka Zdeborová, Stefano Sarao Mannelli, 2019, ICML 2019.

Blind Calibration for Sparse Regression: A State Evolution Analysis

Jean Barbier, Florent Krzakala, Lenka Zdeborová, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Threshold values, stability analysis and high-q asymptotics for the coloring problem on random graphs

Florent Krzakala, Andrea Pagnani, Martin Weigt, 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

Reweighted Belief Propagation and Quiet Planting for Random K-SAT

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2012, J. Satisf. Boolean Model. Comput..

First-order transitions and the performance of quantum algorithms in random optimization problems

Guilhem Semerjian, Florent Krzakala, Francesco Zamponi, 2009, Physical review letters.

Approximate message passing with restricted Boltzmann machine priors pdf

Florent Krzakala, Eric W. Tramel, Angélique Dremeau, 2015, ArXiv.

The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective pdf

Guilhem Semerjian, Florent Krzakala, Victor Bapst, 2012, ArXiv.

Entropy and mutual information in models of deep neural networks

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2018, 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.

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

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

Phase recovery from a Bayesian point of view: The variational approach

Florent Krzakala, Angélique Dremeau, F. Krzakala, 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Nicolas Macris, Florent Krzakala, Jean Barbier, 2017, IEEE Transactions on Information Theory.

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

Florent Krzakala, Lenka Zdeborová, Thibault Lesieur, 2017, ArXiv.

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

Andrea Montanari, Guilhem Semerjian, Florent Krzakala, 2006, Proceedings of the National Academy of Sciences.

Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model pdf

Michael I. Jordan, Florent Krzakala, Ahmed El Alaoui, 2017, ArXiv.

Quiet Planting in the Locked Constraint Satisfaction Problems pdf

Florent Krzakala, Lenka Zdeborová, F. Krzakala, 2009, SIAM J. Discret. Math..

Comparative study for inference of hidden classes in stochastic block models pdf

Florent Krzakala, Lenka Zdeborová, Pan Zhang, 2012, ArXiv.

Decoding from pooled data: Phase transitions of message passing

Michael I. Jordan, Florent Krzakala, Lenka Zdeborová, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

The hard-core model on random graphs revisited pdf

Florent Krzakala, Lenka Zdeborová, Pan Zhang, 2013, ArXiv.

Spectral detection in the censored block model

Florent Krzakala, Marc Lelarge, Alaa Saade, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

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

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

Optical reservoir computing for high-dimensional spatio-temporal chaotic systems prediction (Conference Presentation)

Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, 2020 .

Spectral redemption in clustering sparse networks

Elchanan Mossel, Cristopher Moore, Florent Krzakala, 2013, Proceedings of the National Academy of Sciences.

Artificial intelligence: From electronics to optics

Florent Krzakala, Igor Carron, Sylvain Gigan, 2020, Photoniques.

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

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2016, NIPS.

Constraint optimization and landscapes pdf

Florent Krzakala, Jorge Kurchan, 2007, ArXiv.

TRAMP: Compositional Inference with TRee Approximate Message Passing pdf

Florent Krzakala, Lenka Zdeborov'a, Antoine Baker, 2020, ArXiv.

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

Sundeep Rangan, Florent Krzakala, Lenka Zdeborová, 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adversarial Robustness by Design through Analog Computing and Synthetic Gradients pdf

Ruben Ohana, Florent Krzakala, Laurent Meunier, 2021, ArXiv.

Belief-propagation reconstruction for discrete tomography pdf

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2012, ArXiv.

Phase transition in the detection of modules in sparse networks

Cristopher Moore, Florent Krzakala, Lenka Zdeborová, 2011, Physical review letters.

Modelling the influence of data structure on learning in neural networks pdf

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2019, ArXiv.

Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing

Florent Krzakala, Lenka Zdeborová, Eric W. Tramel, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Estimation in the Spiked Wigner Model: A Short Proof of the Replica Formula

Florent Krzakala, Ahmed El Alaoui, F. Krzakala, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Statistical physics-based reconstruction in compressed sensing pdf

Florent Krzakala, Lenka Zdeborová, Yifan Sun, 2011, ArXiv.

Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques.

Florent Krzakala, Laurent Daudet, Christophe Schülke, 2015, Optics express.

Constraint optimisation and landscapes

Florent Krzakala, Jorge Kurchan, F. Krzakala, 2007, 0709.1023.

Phase diagram and approximate message passing for blind calibration and dictionary learning

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2013, 2013 IEEE International Symposium on Information Theory.

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.

Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy

Florent Krzakala, Eric W. Tramel, Marylou Gabrié, 2015, NIPS 2015.

Clustering from sparse pairwise measurements

Florent Krzakala, Marc Lelarge, Lenka Zdeborová, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

Statistical Physics, Optimization, Inference, and Message-Passing Algorithms: Lecture Notes of the Les Houches School of Physics: Special Issue, October 2013

Florent Krzakala, Lenka Zdeborová, Riccardo Zecchina, 2015 .

Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models

Florent Krzakala, Lenka Zdeborová, Stefano Sarao Mannelli, 2019, ICML.

Construction of optimal spectral methods in phase retrieval pdf

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

Blind Calibration in Compressed Sensing using Message Passing Algorithms

Florent Krzakala, Francesco Caltagirone, Lenka Zdeborová, 2013, NIPS.

Approximate Message Passing with Restricted

Florent Krzakala, Eric W. Tramel, 2015 .

Approximate message-passing with spatially coupled structured operators, with applications to compressed sensing and sparse superposition codes

Florent Krzakala, Jean Barbier, Christophe Schulke, 2013, 1312.1740.

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher–student setup pdf

Florent Krzakala, Lenka Zdeborová, Andrew M. Saxe, 2019, NeurIPS.

High-temperature expansions and message passing algorithms pdf

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2019, Journal of Statistical Mechanics: Theory and Experiment.

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

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2017, Proceedings of the National Academy of Sciences.

Principled Training of Neural Networks with Direct Feedback Alignment pdf

Florent Krzakala, Julien Launay, Iacopo Poli, 2019, ArXiv.

Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines

Florent Krzakala, Francesco Caltagirone, Eric W. Tramel, 2016, 2016 IEEE Information Theory Workshop (ITW).

Swept Approximate Message Passing for Sparse Estimation

Florent Krzakala, Lenka Zdeborová, Eric W. Tramel, 2015, ICML.

Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units

Jonathan Dong, Ruben Ohana, Florent Krzakala, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Cristopher Moore, Florent Krzakala, Lenka Zdeborová, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines pdf

Florent Krzakala, Francesco Caltagirone, Eric W. Tramel, 2017, Physical Review X.

Non-adaptive pooling strategies for detection of rare faulty items

Florent Krzakala, Lenka Zdeborová, Pan Zhang, 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

On the universality of noiseless linear estimation with respect to the measurement matrix pdf

Florent Krzakala, Lenka Zdeborová, Antoine Baker, 2019, Journal of Physics A: Mathematical and Theoretical.

The Spiked Matrix Model With Generative Priors

Florent Krzakala, Lenka Zdeborová, Bruno Loureiro, 2019, IEEE Transactions on Information Theory.

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16) pdf

Aleksandra Pizurica, Mohamed-Jalal Fadili, Ali Mohammad-Djafari, 2016, ArXiv.

Hiding Quiet Solutions in Random Constraint Satisfaction Problems

Florent Krzakala, Lenka Zdeborová, F. Krzakala, 2009, Physical review letters.

Fast Randomized Semi-Supervised Clustering pdf

Florent Krzakala, Marc Lelarge, Lenka Zdeborová, 2016, Journal of Physics: Conference Series.

Spectral density of the non-backtracking operator on random graphs pdf

Florent Krzakala, Lenka Zdeborová, Alaa Saade, 2014, ArXiv.

Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models pdf

Nicolas Macris, Florent Krzakala, Lenka Zdeborová, 2017, ArXiv.

Robust error correction for real-valued signals via message-passing decoding and spatial coupling

Florent Krzakala, Lenka Zdeborová, Pan Zhang, 2013, 2013 IEEE Information Theory Workshop (ITW).

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula) pdf

Florent Krzakala, Alia Abbara, Cedric Gerbelot, 2020, ArXiv.

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

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

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

Florent Krzakala, Lenka Zdeborová, Yifan Sun, 2012, ArXiv.

Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model

Florent Krzakala, Lenka Zdeborová, Giulio Biroli, 2019, NeurIPS.

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

Nicolas Macris, Florent Krzakala, Jean Barbier, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference pdf

Florent Krzakala, Lenka Zdeborová, Giulio Biroli, 2018, Physical Review X.

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

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

Sparse Estimation with the Swept Approximated Message-Passing Algorithm pdf

Florent Krzakala, Lenka Zdeborová, Eric W. Tramel, 2014, ArXiv.

Quantum energy gaps and first-order mean-field-like transitions pdf

Florent Krzakala, Thomas Jörg, A. C. Maggs, 2009, ArXiv.

Decoding from Pooled Data: Sharp Information-Theoretic Bounds

Michael I. Jordan, Florent Krzakala, Lenka Zdeborová, 2016, SIAM J. Math. Data Sci..

Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems pdf

Florent Krzakala, Lenka Zdeborová, F. Krzakala, 2007, ArXiv.

Mutual information in rank-one matrix estimation

Florent Krzakala, Lenka Zdeborová, Jiaming Xu, 2016, 2016 IEEE Information Theory Workshop (ITW).

Approximate survey propagation for statistical inference pdf

Florent Krzakala, Lenka Zdeborová, Pierfrancesco Urbani, 2018, Journal of Statistical Mechanics: Theory and Experiment.

Approximate Message-Passing Decoder and Capacity Achieving Sparse Superposition Codes

Florent Krzakala, Jean Barbier, F. Krzakala, 2015, IEEE Transactions on Information Theory.

THE GENERALIZED APPROXIMATE MESSAGE PASSING ALGORITHM

Sundeep Rangan, Florent Krzakala, Cnrs Ura, 2015 .

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

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

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

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

Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions pdf

Florent Krzakala, Gabriele Sicuro, Bruno Loureiro, 2021, ArXiv.

Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning

Ali Bereyhi, Florent Krzakala, Ralf R. Muller, 2022, ArXiv.

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.

LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor

Ruben Ohana, Florent Krzakala, Laurent Daudet, 2021, 2021 IEEE Hot Chips 33 Symposium (HCS).

Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime pdf

Florent Krzakala, Bruno Loureiro, Hugo Cui, 2021, ArXiv.

Bayesian reconstruction of memories stored in neural networks from their connectivity

Nicolas Brunel, Florent Krzakala, Sebastian Goldt, 2021 .

Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising pdf

Florent Krzakala, Antoine Maillard, Lenka Zdeborov'a, 2021, ArXiv.

No spin glass phase in the ferromagnetic random-field random-temperature scalar Ginzburg–Landau model

Florent Krzakala, Federico Ricci-Tersenghi, David Sherrington, 2011 .

Disorder chaos in spin glasses

Florent Krzakala, Jean-Philippe Bouchaud, 2005 .

Asymptotic errors for convex penalized linear regression beyond Gaussian matrices.

Florent Krzakala, C'edric Gerbelot, F. Krzakala, 2020, 2002.04372.

Jamming versus glass transitions.

Florent Krzakala, Jorge Kurchan, F. Krzakala, 2008, Physical review letters.

First-order transitions for random optimization problems in a transverse field

Guilhem Semerjian, Florent Krzakala, Francesco Zamponi, 2009 .

Statistical physics, optimization, inference and message-passing algorithms : École de Physique des Houches special issue, 30 September-11 October 2013

Florent Krzakala, Lenka Zdeborová, Riccardo Zecchina, 2016 .

Modelling the influence of data structure on learning in neural networks pdf

Florent Krzakala, Lenka Zdeborová, Marc Mézard, 2020, Physical Review X.

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

Florent Krzakala, Yue M. Lu, Francesca Mignacco, 2020, ICML.

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

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

Lattice model for colloidal gels and glasses.

Florent Krzakala, Lenka Zdeborová, Marco Tarzia, 2008, Physical review letters.

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

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

Ultrametric probe of the spin-glass state in a field

Florent Krzakala, Alexander K. Hartmann, Helmut G. Katzgraber, 2012, 1205.4200.

How many colors to color a random graph? Cavity, complexity, stability and all that

Florent Krzakala, 2004 .

Chaos in spin glasses

Florent Krzakala, Helmut G. Katzgraber, F. Krzakala, 2007 .