Lenka Zdeborová

274 papers A* 36A 5B 12Misc 2Journal 197Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A solvable high-dimensional model where nonlinear autoencoders learn structure invisible to PCA while test loss misaligns with generalization. CoRR Vicente Conde Mendes, Lorenzo Bardone, Cédric Koller, Jorge Medina Moreira, Vittorio Erba, Emanuele Troiani, Lenka Zdeborová
2026	J	`jnl`	Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method. CoRR Yatin Dandi, David Gamarnik, Francisco Pernice, Lenka Zdeborová
2026	J	`jnl`	Specialization of softmax attention heads: insights from the high-dimensional single-location model. CoRR M. Sagitova, O. Duranthon, Lenka Zdeborová
2026	J	`jnl`	The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks. CoRR Gabriele Farné, Fabrizio Boncoraglio, Lenka Zdeborová
2025	J	`jnl`	Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks. CoRR Luca Arnaboldi, Bruno Loureiro, Ludovic Stephan, Florent Krzakala, Lenka Zdeborová
2025	J	`jnl`	Bayes optimal learning of attention-indexed models. CoRR Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová
2025	A	`conf`	Building Conformal Prediction Intervals with Approximate Message Passing. UAI Lucas Clarté, Lenka Zdeborová
2025	J	`jnl`	Computational Thresholds in Multi-Modal Learning via the Spiked Matrix-Tensor Model. CoRR Hugo Tabanelli, Pierre Mergny, Lenka Zdeborová, Florent Krzakala
2025	A*	`conf`	Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers. ICML Freya Behrens, Luca Biggio, Lenka Zdeborová
2025	J	`jnl`	Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge. CoRR Freya Behrens, Lenka Zdeborová
2025	A*	`conf`	Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications. COLT Yizhou Xu, Antoine Maillard, Lenka Zdeborová, Florent Krzakala
2025	J	`jnl`	Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications. CoRR Yizhou Xu, Antoine Maillard, Lenka Zdeborová, Florent Krzakala
2025	A	`conf`	Fundamental computational limits of weak learnability in high-dimensional multi-index models. AISTATS Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala
2025	J	`jnl`	Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds. CoRR Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborová
2025	A*	`conf`	Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds. ICML Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborová
2025	J	`jnl`	Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions. CoRR Fabrizio Boncoraglio, Vittorio Erba, Emanuele Troiani, Florent Krzakala, Lenka Zdeborová
2025	J	`jnl`	Inference in Spreading Processes with Neural-Network Priors. CoRR Davide Ghio, Fabrizio Boncoraglio, Lenka Zdeborová
2025	J	`jnl`	Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions. CoRR Yizhou Xu, Florent Krzakala, Lenka Zdeborová
2025	J	`jnl`	On the existence of consistent adversarial attacks in high-dimensional linear classification. CoRR Matteo Vilucchio, Lenka Zdeborová, Bruno Loureiro
2025	J	`jnl`	Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime. CoRR Leonardo Defilippis, Yizhou Xu, Julius Girardin, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala
2025	J	`jnl`	Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares. CoRR Pierre Mergny, Lenka Zdeborová
2025	J	`jnl`	Statistical Advantage of Softmax Attention: Insights from Single-Location Regression. CoRR O. Duranthon, Pierre Marion, Claire Boyer, Bruno Loureiro, Lenka Zdeborová
2025	J	`jnl`	Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model. CoRR O. Duranthon, Lenka Zdeborová
2025	J	`jnl`	The Computational Advantage of Depth: Learning High-Dimensional Hierarchical Functions with Gradient Descent. CoRR Yatin Dandi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
2025	J	`jnl`	The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks. CoRR Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Florent Krzakala
2025	J	`jnl`	The maximum-average subtensor problem: equilibrium and out-of-equilibrium properties. CoRR Vittorio Erba, Nathan Malo Kupferschmid, Rodrigo Pérez, Lenka Zdeborová
2024	A*	`conf`	A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention. NeurIPS Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	A phase transition between positional and semantic learning in a solvable model of dot-product attention. CoRR Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová
2024	A	`conf`	Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression. UAI Lucas Clarté, Adrien Vandenbroucque, Guillaume Dalle, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression. CoRR Lucas Clarté, Adrien Vandenbroucque, Guillaume Dalle, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2024	A*	`conf`	Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity. ICLR Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová
2024	—	`conf`	Asymptotic Generalization Error of a Single-Layer Graph Convolutional Network. LoG O. Duranthon, Lenka Zdeborová
2024	J	`jnl`	Asymptotic generalization error of a single-layer graph convolutional network. CoRR Odilon Duranthon, Lenka Zdeborová
2024	A*	`conf`	Asymptotics of feature learning in two-layer networks after one gradient-step. ICML Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro
2024	J	`jnl`	Asymptotics of feature learning in two-layer networks after one gradient-step. CoRR Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro
2024	A*	`conf`	Bayes-optimal learning of an extensive-width neural network from quadratically many samples. NeurIPS Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Bayes-optimal learning of an extensive-width neural network from quadratically many samples. CoRR Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens. CoRR Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová
2024	J	`jnl`	Building Conformal Prediction Intervals with Approximate Message Passing. CoRR Lucas Clarté, Lenka Zdeborová
2024	J	`jnl`	Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut
2024	A*	`conf`	Fundamental Limits of Non-Linear Low-Rank Matrix Estimation. COLT Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Fundamental limits of Non-Linear Low-Rank Matrix Estimation. CoRR Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Fundamental limits of weak learnability in high-dimensional multi-index models. CoRR Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala
2024	J	`jnl`	Integer Traffic Assignment Problem: Algorithms and Insights on Random Graphs. CoRR Rayan Harfouche, Giovanni Piccioli, Lenka Zdeborová
2024	J	`jnl`	Optimal Inference in Contextual Stochastic Block Models. Trans. Mach. Learn. Res. O. Duranthon, Lenka Zdeborová
2024	J	`jnl`	Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions. CoRR Christian Keup, Lenka Zdeborová
2024	J	`jnl`	Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods. SIAM J. Math. Data Sci. Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
2024	A*	`conf`	The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. ICML Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
2024	J	`jnl`	The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
2024	J	`jnl`	The phase diagram of compressed sensing with ℓ CoRR Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2024	J	`jnl`	Understanding Counting in Small Transformers: The Interplay between Attention and Feed-Forward Layers. CoRR Freya Behrens, Luca Biggio, Lenka Zdeborová
2023	J	`jnl`	Analysis of learning a flow-based generative model from limited sample complexity. CoRR Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová
2023	A*	`conf`	Bayes-optimal Learning of Deep Random Networks of Extensive-width. ICML Hugo Cui, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Bayesian reconstruction of memories stored in neural networks from their connectivity. PLoS Comput. Biol. Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel
2023	J	`jnl`	Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023	B	`conf`	Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Error scaling laws for kernel classification under source and capacity conditions. Mach. Learn. Sci. Technol. Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2023	A	`conf`	Expectation consistency for calibration of neural networks. UAI Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Expectation consistency for calibration of neural networks. CoRR Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Gibbs Sampling the Posterior of Neural Networks. CoRR Giovanni Piccioli, Emanuele Troiani, Lenka Zdeborová
2023	A*	`conf`	High-dimensional Asymptotics of Denoising Autoencoders. NeurIPS Hugo Cui, Lenka Zdeborová
2023	J	`jnl`	High-dimensional Asymptotics of Denoising Autoencoders. CoRR Hugo Cui, Lenka Zdeborová
2023	J	`jnl`	Learning curves for the multi-class teacher-student perceptron. Mach. Learn. Sci. Technol. Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
2023	J	`jnl`	Neural-prior stochastic block model. CoRR Odilon Duranthon, Lenka Zdeborová
2023	J	`jnl`	Neural-prior stochastic block model. Mach. Learn. Sci. Technol. Odilon Duranthon, Lenka Zdeborová
2023	A	`conf`	On double-descent in uncertainty quantification in overparametrized models. AISTATS Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Optimal Inference in Contextual Stochastic Block Models. CoRR Odilon Duranthon, Lenka Zdeborová
2023	J	`jnl`	Optimal Learning of Deep Random Networks of Extensive-width. CoRR Hugo Cui, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective. CoRR Davide Ghio, Yatin Dandi, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Statistical mechanics of the maximum-average submatrix problem. CoRR Vittorio Erba, Florent Krzakala, Rodrigo Pérez, Lenka Zdeborová
2023	J	`jnl`	Theoretical characterization of uncertainty in high-dimensional linear classification. Mach. Learn. Sci. Technol. Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2023	J	`jnl`	Tree-AMP: Compositional Inference with Tree Approximate Message Passing. J. Mach. Learn. Res. Antoine Baker, Florent Krzakala, Benjamin Aubin, Lenka Zdeborová
2023	A*	`conf`	Universality laws for Gaussian mixtures in generalized linear models. NeurIPS Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová
2022	J	`jnl`	(Dis)assortative Partitions on Random Regular Graphs. CoRR Freya Behrens, Gabriel Arpino, Yaroslav Kivva, Lenka Zdeborová
2022	J	`jnl`	A study of uncertainty quantification in overparametrized high-dimensional models. CoRR Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Disordered Systems Insights on Computational Hardness. CoRR David Gamarnik, Cristopher Moore, Lenka Zdeborová
2022	J	`jnl`	Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. CoRR Federica Gerace, Florent Krzakala, Bruno Loureiro, Ludovic Stephan, Lenka Zdeborová
2022	J	`jnl`	Learning curves for the multi-class teacher-student perceptron. CoRR Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
2022	A*	`conf`	Multi-layer State Evolution Under Random Convolutional Design. NeurIPS Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Multi-layer State Evolution Under Random Convolutional Design. CoRR Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová
2022	—	`conf`	Optimal denoising of rotationally invariant rectangular matrices. MSML Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová
2022	J	`jnl`	Optimal denoising of rotationally invariant rectangular matrices. CoRR Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová
2022	A*	`conf`	Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. NeurIPS Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. CoRR Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Planted matching problems on random hypergraphs. CoRR Urte Adomaityte, Anshul Toshniwal, Gabriele Sicuro, Lenka Zdeborová
2022	J	`jnl`	Probing transfer learning with a model of synthetic correlated datasets. Mach. Learn. Sci. Technol. Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
2022	J	`jnl`	Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
2022	A*	`conf`	Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2022	J	`jnl`	The planted XY model: thermodynamics and inference. CoRR Siyu Chen, Guanhao Huang, Giovanni Piccioli, Lenka Zdeborová
2022	J	`jnl`	Theoretical characterization of uncertainty in high-dimensional linear classification. CoRR Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2021	J	`jnl`	Aligning random graphs with a sub-tree similarity message-passing algorithm. CoRR Giovanni Piccioli, Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová
2021	J	`jnl`	Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	A*	`conf`	Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. ICML Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová
2021	J	`jnl`	Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. CoRR Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová
2021	—	`conf`	Construction of optimal spectral methods in phase retrieval. MSML Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2021	A*	`conf`	Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. NeurIPS Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2021	J	`jnl`	Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. CoRR Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2021	J	`jnl`	Large deviations in the perceptron model and consequences for active learning. Mach. Learn. Sci. Technol. Hugo Cui, Luca Saglietti, Lenka Zdeborová
2021	J	`jnl`	Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions. CoRR Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová
2021	A*	`conf`	Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions. NeurIPS Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová
2021	A*	`conf`	Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	—	`ed.`	Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland. MSML Joan Bruna, Jan S. Hesthaven, Lenka Zdeborová
2021	J	`jnl`	Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. CoRR Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	J	`jnl`	Probing transfer learning with a model of synthetic correlated datasets. CoRR Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
2021	—	`conf`	Solvable Model for Inheriting the Regularization through Knowledge Distillation. MSML Luca Saglietti, Lenka Zdeborová
2021	J	`jnl`	Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. CoRR Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
2021	J	`jnl`	Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. Mach. Learn. Sci. Technol. Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
2021	—	`conf`	The Gaussian equivalence of generative models for learning with shallow neural networks. MSML Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	J	`jnl`	The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2020	—	`conf`	An Alternating Projection-Image Domains Algorithm for Spectral CT. ISBI Frédéric Jolivet, Clarisse Fournier, Michel Garcin, Lenka Zdeborová, Andrea Brambilla
2020	A*	`conf`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. NeurIPS Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Construction of optimal spectral methods in phase retrieval. CoRR Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	A*	`conf`	Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. CoRR Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Epidemic mitigation by statistical inference from contact tracing data. CoRR Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová
2020	—	`conf`	Exact asymptotics for phase retrieval and compressed sensing with random generative priors. MSML Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
2020	A*	`conf`	Generalisation error in learning with random features and the hidden manifold model. ICML Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2020	J	`jnl`	Generalisation error in learning with random features and the hidden manifold model. CoRR Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2020	A*	`conf`	Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. NeurIPS Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	J	`jnl`	Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. CoRR Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	—	`conf`	Large deviations for the perceptron model and consequences for active learning. MSML Hugo Cui, Luca Saglietti, Lenka Zdeborová
2020	J	`jnl`	Multilayer Modularity Belief Propagation to Assess Detectability of Community Structure. SIAM J. Math. Data Sci. William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha
2020	A*	`conf`	Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions. NeurIPS Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová
2020	J	`jnl`	Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions. CoRR Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová
2020	A*	`conf`	Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	Phase retrieval in high dimensions: Statistical and computational phase transitions. CoRR Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
2020	—	`conf`	Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. MSML Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	Recovery thresholds in the sparse planted matching problem. CoRR Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová
2020	J	`jnl`	Solvable Model for Inheriting the Regularization through Knowledge Distillation. CoRR Luca Saglietti, Lenka Zdeborová
2020	J	`jnl`	TRAMP: Compositional Inference with TRee Approximate Message Passing. CoRR Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová
2020	A*	`conf`	The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML Francesca Mignacco, Florent Krzakala, Yue M. Lu, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	The planted k-factor problem. CoRR Gabriele Sicuro, Lenka Zdeborová
2020	J	`jnl`	The role of regularization in classification of high-dimensional noisy Gaussian mixture. CoRR Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	J	`jnl`	Thresholds of descending algorithms in inference problems. CoRR Stefano Sarao Mannelli, Lenka Zdeborová
2019	—	`conf`	Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Decoding From Pooled Data: Phase Transitions of Message Passing. IEEE Trans. Inf. Theory Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
2019	J	`jnl`	Decoding from Pooled Data: Sharp Information-Theoretic Bounds. SIAM J. Math. Data Sci. Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
2019	A*	`conf`	Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. NeurIPS Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. CoRR Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Exact asymptotics for phase retrieval and compressed sensing with random generative priors. CoRR Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Generalisation dynamics of online learning in over-parameterised neural networks. CoRR Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	High-temperature Expansions and Message Passing Algorithms. CoRR Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2019	J	`jnl`	Large deviations for the perceptron model and consequences for active learning. CoRR Hugo Cui, Luca Saglietti, Lenka Zdeborová
2019	J	`jnl`	Modelling the influence of data structure on learning in neural networks. CoRR Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Modularity belief propagation on multilayer networks to detect significant community structure. CoRR William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha
2019	J	`jnl`	On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix. CoRR Alia Abbara, Antoine Baker, Florent Krzakala, Lenka Zdeborová
2019	A*	`conf`	Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. ICML Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2019	J	`jnl`	Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. CoRR Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2019	J	`jnl`	Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. CoRR Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2019	A*	`conf`	The spiked matrix model with generative priors. NeurIPS Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	The spiked matrix model with generative priors. CoRR Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová
2019	A*	`conf`	Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models. NeurIPS Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	Approximate Survey Propagation for Statistical Inference. CoRR Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	Approximate message-passing for convex optimization with non-separable penalties. CoRR Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová
2018	A*	`conf`	Entropy and mutual information in models of deep neural networks. NeurIPS Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	Entropy and mutual information in models of deep neural networks. CoRR Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	On Minimal Sets to Destroy the k-Core in Random Networks. CoRR Christian Schmidt, Henry D. Pfister, Lenka Zdeborová
2018	J	`jnl`	On the glassy nature of the hard phase in inference problems. CoRR Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová
2018	A*	`conf`	Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2018	J	`jnl`	Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
2018	A*	`conf`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2018	J	`jnl`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2018	J	`jnl`	Typology of phase transitions in Bayesian inference problems. CoRR Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová
2017	J	`jnl`	Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications. CoRR Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
2017	J	`jnl`	Decoding from Pooled Data: Phase Transitions of Message Passing. CoRR Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
2017	B	`conf`	Decoding from pooled data: Phase transitions of message passing. ISIT Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
2017	A*	`conf`	Information-theoretic thresholds from the cavity method. STOC Amin Coja-Oghlan, Florent Krzakala, Will Perkins, Lenka Zdeborová
2017	J	`jnl`	Multi-Layer Generalized Linear Estimation. CoRR Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2017	B	`conf`	Multi-layer generalized linear estimation. ISIT Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2017	J	`jnl`	Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. CoRR Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2017	J	`jnl`	Phase transitions in the $q$-coloring of random hypergraphs. CoRR Marylou Gabrié, Varsha Dani, Guilhem Semerjian, Lenka Zdeborová
2017	B	`conf`	Statistical and computational phase transitions in spiked tensor estimation. ISIT Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2017	J	`jnl`	Statistical and computational phase transitions in spiked tensor estimation. CoRR Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2017	—	`conf`	Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2017	J	`jnl`	Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2016	J	`jnl`	Clustering from Sparse Pairwise Measurements. CoRR Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2016	B	`conf`	Clustering from sparse pairwise measurements. ISIT Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2016	J	`jnl`	Decoding from Pooled Data: Sharp Information-Theoretic Bounds. CoRR Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
2016	J	`jnl`	Fast Randomized Semi-Supervised Clustering. CoRR Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová
2016	J	`jnl`	Fast and simple decycling and dismantling of networks. CoRR Lenka Zdeborová, Pan Zhang, Hai-Jun Zhou
2016	J	`jnl`	Information-theoretic thresholds from the cavity method. CoRR Amin Coja-Oghlan, Florent Krzakala, Will Perkins, Lenka Zdeborová
2016	J	`jnl`	Mutual Information in Rank-One Matrix Estimation. CoRR Florent Krzakala, Jiaming Xu, Lenka Zdeborová
2016	—	`conf`	Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. NIPS Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
2016	J	`jnl`	Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. CoRR Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová
2016	B	`conf`	Mutual information in rank-one matrix estimation. ITW Florent Krzakala, Jiaming Xu, Lenka Zdeborová
2016	J	`jnl`	Network dismantling. CoRR Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian, Lenka Zdeborová
2016	J	`jnl`	Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2016	J	`jnl`	Phase diagram of matrix compressed sensing. CoRR Christophe Schülke, Philip Schniter, Lenka Zdeborová
2016	—	`conf`	Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. Allerton Thibault Lesieur, Caterina De Bacco, Jess Banks, Florent Krzakala, Cristopher Moore, Lenka Zdeborová
2016	J	`jnl`	Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. CoRR Thibault Lesieur, Caterina De Bacco, Jess Banks, Florent Krzakala, Cristopher Moore, Lenka Zdeborová
2016	J	`jnl`	The large deviations of the whitening process in random constraint satisfaction problems. CoRR Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian, Lenka Zdeborová
2015	Misc	`conf`	Adaptive damping and mean removal for the generalized approximate message passing algorithm. ICASSP Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová
2015	—	`conf`	MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel. Allerton Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
2015	J	`jnl`	MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel. CoRR Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
2015	—	`conf`	Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. NIPS Alaa Saade, Florent Krzakala, Lenka Zdeborová
2015	J	`jnl`	Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. CoRR Alaa Saade, Florent Krzakala, Lenka Zdeborová
2015	J	`jnl`	Phase Transitions in Sparse PCA. CoRR Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
2015	B	`conf`	Phase transitions in sparse PCA. ISIT Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
2015	J	`jnl`	Spectral Detection in the Censored Block Model. CoRR Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová
2015	J	`jnl`	Spectral Detection on Sparse Hypergraphs. CoRR Maria Chiara Angelini, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
2015	B	`conf`	Spectral detection in the censored block model. ISIT Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2015	—	`conf`	Spectral detection on sparse hypergraphs. Allerton Maria Chiara Angelini, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
2015	J	`jnl`	Statistical physics of inference: Thresholds and algorithms. CoRR Lenka Zdeborová, Florent Krzakala
2015	A*	`conf`	Swept Approximate Message Passing for Sparse Estimation. ICML Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2014	J	`jnl`	Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm. CoRR Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová
2014	J	`jnl`	Bayesian signal reconstruction for 1-bit compressed sensing. CoRR Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborová
2014	J	`jnl`	Blind Sensor Calibration using Approximate Message Passing. CoRR Christophe Schülke, Francesco Caltagirone, Lenka Zdeborová
2014	J	`jnl`	Dynamic message-passing equations for models with unidirectional dynamics. CoRR Andrey Y. Lokhov, Marc Mézard, Lenka Zdeborová
2014	J	`jnl`	On Convergence of Approximate Message Passing. CoRR Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
2014	B	`conf`	On convergence of approximate message passing. ISIT Francesco Caltagirone, Lenka Zdeborová, Florent Krzakala
2014	J	`jnl`	Percolation on sparse networks. CoRR Brian Karrer, Mark E. J. Newman, Lenka Zdeborová
2014	J	`jnl`	Phase transitions and sample complexity in Bayes-optimal matrix factorization. CoRR Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2014	J	`jnl`	Phase transitions in semisupervised clustering of sparse networks. CoRR Pan Zhang, Cristopher Moore, Lenka Zdeborová
2014	J	`jnl`	Properties of spatial coupling in compressed sensing. CoRR Francesco Caltagirone, Lenka Zdeborová
2014	J	`jnl`	Reweighted Belief Propagation and Quiet Planting for Random K-SAT. J. Satisf. Boolean Model. Comput. Florent Krzakala, Marc Mézard, Lenka Zdeborová
2014	J	`jnl`	Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová
2014	J	`jnl`	Spectral Clustering of Graphs with the Bethe Hessian. CoRR Alaa Saade, Florent Krzakala, Lenka Zdeborová
2014	—	`conf`	Spectral Clustering of graphs with the Bethe Hessian. NIPS Alaa Saade, Florent Krzakala, Lenka Zdeborová
2014	J	`jnl`	Spectral density of the non-backtracking operator. CoRR Alaa Saade, Florent Krzakala, Lenka Zdeborová
2014	J	`jnl`	Variational Free Energies for Compressed Sensing. CoRR Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2014	B	`conf`	Variational free energies for compressed sensing. ISIT Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová
2013	—	`conf`	Blind Calibration in Compressed Sensing using Message Passing Algorithms. NIPS Christophe Schülke, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
2013	J	`jnl`	Blind Calibration in Compressed Sensing using Message Passing Algorithms. CoRR Christophe Schülke, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
2013	J	`jnl`	Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing CoRR Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	Misc	`conf`	Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing. ICASSP Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Dynamics and termination cost of spatially coupled mean-field models. CoRR Francesco Caltagirone, Silvio Franz, Richard Morris, Lenka Zdeborová
2013	J	`jnl`	Inferring the origin of an epidemy with dynamic message-passing algorithm CoRR Andrey Y. Lokhov, Marc Mézard, Hiroki Ohta, Lenka Zdeborová
2013	J	`jnl`	Non-adaptive pooling strategies for detection of rare faulty items CoRR Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	—	`conf`	Non-adaptive pooling strategies for detection of rare faulty items. ICC Workshops Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning CoRR Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	B	`conf`	Phase diagram and approximate message passing for blind calibration and dictionary learning. ISIT Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Robust error correction for real-valued signals via message-passing decoding and spatial coupling CoRR Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2013	B	`conf`	Robust error correction for real-valued signals via message-passing decoding and spatial coupling. ITW Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2013	J	`jnl`	Spectral redemption: clustering sparse networks. CoRR Florent Krzakala, Cristopher Moore, Elchanan Mossel, Joe Neeman, Allan Sly, Lenka Zdeborová, Pan Zhang
2013	J	`jnl`	The hard-core model on random graphs revisited. CoRR Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang
2012	J	`jnl`	Belief Propagation Reconstruction for Discrete Tomography CoRR Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	J	`jnl`	Comparative Study for Inference of Hidden Classes in Stochastic Block Models CoRR Pan Zhang, Florent Krzakala, Jörg Reichardt, Lenka Zdeborová
2012	J	`jnl`	Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction CoRR Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	—	`conf`	Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	J	`jnl`	Message passing for quantified Boolean formulas CoRR Pan Zhang, Abolfazl Ramezanpour, Lenka Zdeborová, Riccardo Zecchina
2012	J	`jnl`	Model Selection for Degree-corrected Block Models CoRR Xiaoran Yan, Jacob E. Jensen, Florent Krzakala, Cristopher Moore, Cosma Rohilla Shalizi, Lenka Zdeborová, Pan Zhang, Yaojia Zhu
2012	J	`jnl`	Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices CoRR Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
2012	A*	`conf`	The condensation transition in random hypergraph 2-coloring. SODA Amin Coja-Oghlan, Lenka Zdeborová
2011	J	`jnl`	Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications CoRR Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová
2011	J	`jnl`	Phase transition in the detection of modules in sparse networks CoRR Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová
2011	J	`jnl`	Quiet Planting in the Locked Constraint Satisfaction Problems. SIAM J. Discret. Math. Lenka Zdeborová, Florent Krzakala
2011	J	`jnl`	Statistical physics-based reconstruction in compressed sensing CoRR Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
2010	J	`jnl`	Adversarial Satisfiability Problem CoRR Michele Castellana, Lenka Zdeborová
2010	—	`conf`	Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid. HICSS Lenka Zdeborová, Scott Backhaus, Michael Chertkov
2009	J	`jnl`	Belief propagation for graph partitioning CoRR Petr Sulc, Lenka Zdeborová
2009	J	`jnl`	Conjecture on the maximum cut and bisection width in random regular graphs CoRR Lenka Zdeborová, Stefan Boettcher
2009	J	`jnl`	Hiding Quiet Solutions in Random Constraint Satisfaction Problems CoRR Florent Krzakala, Lenka Zdeborová
2009	J	`jnl`	Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid CoRR Lenka Zdeborová, Scott Backhaus, Michael Chertkov
2009	J	`jnl`	Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines CoRR Lenka Zdeborová, Michael Chertkov
2009	J	`jnl`	Quiet Planting in the Locked Constraint Satisfaction Problems CoRR Lenka Zdeborová, Florent Krzakala
2008	J	`jnl`	Constraint satisfaction problems with isolated solutions are hard CoRR Lenka Zdeborová, Marc Mézard
2008	J	`jnl`	Exhaustive enumeration unveils clustering and freezing in random 3-SAT CoRR John Ardelius, Lenka Zdeborová
2008	J	`jnl`	Hard constraint satisfaction problems CoRR Lenka Zdeborová, Marc Mézard
2008	J	`jnl`	Statistical Physics of Hard Optimization Problems CoRR Lenka Zdeborová
2008	J	`jnl`	The 3D Dimer and Ising problems revisited. Eur. J. Comb. Martin Loebl, Lenka Zdeborová
2007	J	`jnl`	A Hike in the Phases of the 1-in-3 Satisfiability CoRR Elitza N. Maneva, Talya Meltzer, Jack Raymond, Andrea Sportiello, Lenka Zdeborová
2007	J	`jnl`	Gibbs states and the set of solutions of random constraint satisfaction problems. Proc. Natl. Acad. Sci. USA Florent Krzakala, Andrea Montanari, Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová
2007	J	`jnl`	Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems CoRR Florent Krzakala, Lenka Zdeborová
2007	J	`jnl`	Phase Transitions in the Coloring of Random Graphs CoRR Lenka Zdeborová, Florent Krzakala
2007	J	`jnl`	Random subcubes as a toy model for constraint satisfaction problems CoRR Thierry Mora, Lenka Zdeborová
2006	J	`jnl`	Gibbs States and the Set of Solutions of Random Constraint Satisfaction Problems CoRR Florent Krzakala, Andrea Montanari, Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová
2006	J	`jnl`	The number of matchings in random graphs CoRR Lenka Zdeborová, Marc Mézard