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Florent Krzakala
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2020 – today
- 2024
- [j18]Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco
, Florent Krzakala, Lenka Zdeborová:
Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods. SIAM J. Math. Data Sci. 6(2): 400-427 (2024) - [c86]Matteo Vilucchio
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers. AISTATS 2024: 811-819 - [c85]Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová:
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation. COLT 2024: 3873 - [c84]Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová:
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity. ICLR 2024 - [c83]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan:
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs. ICML 2024 - [c82]Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro:
Asymptotics of feature learning in two-layer networks after one gradient-step. ICML 2024 - [c81]Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala:
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. ICML 2024 - [c80]Pierre Mergny, Justin Ko, Florent Krzakala:
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models. ICML 2024 - [i155]Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR abs/2402.03220 (2024) - [i154]Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová:
A phase transition between positional and semantic learning in a solvable model of dot-product attention. CoRR abs/2402.03902 (2024) - [i153]Hugo Cui, Luca Pesce
Asymptotics of feature learning in two-layer networks after one gradient-step. CoRR abs/2402.04980 (2024) - [i152]Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala:
A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs. CoRR abs/2402.05674 (2024) - [i151]Lucas Clarté, Adrien Vandenbroucque, Guillaume Dalle, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression. CoRR abs/2402.13622 (2024) - [i150]Pierre Mergny, Justin Ko, Florent Krzakala:
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models. CoRR abs/2403.03695 (2024) - [i149]Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová:
Fundamental limits of Non-Linear Low-Rank Matrix Estimation. CoRR abs/2403.04234 (2024) - [i148]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. CoRR abs/2405.15459 (2024) - [i147]Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala:
Fundamental limits of weak learnability in high-dimensional multi-index models. CoRR abs/2405.15480 (2024) - [i146]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. CoRR abs/2406.02157 (2024) - [i145]Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová:
Bayes-optimal learning of an extensive-width neural network from quadratically many samples. CoRR abs/2408.03733 (2024) - [i144]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
The phase diagram of compressed sensing with ℓ0-norm regularization. CoRR abs/2408.08319 (2024) - [i143]Ziao Wang, Kilian Müller, Matthew J. Filipovich, Julien Launay, Ruben Ohana, Gustave Pariente, Safa Mokaadi, Charles Brossollet, Fabien Moreau, Alessandro Cappelli, Iacopo Poli, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. CoRR abs/2409.12965 (2024) - [i142]Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue M. Lu, Bruno Loureiro:
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities. CoRR abs/2410.18938 (2024) - 2023
- [j17]Antoine Baker, Florent Krzakala
Tree-AMP: Compositional Inference with Tree Approximate Message Passing. J. Mach. Learn. Res. 24: 57:1-57:89 (2023) - [j16]Hugo Cui
Error scaling laws for kernel classification under source and capacity conditions. Mach. Learn. Sci. Technol. 4(3): 35033 (2023) - [j15]Sebastian Goldt
Bayesian reconstruction of memories stored in neural networks from their connectivity. PLoS Comput. Biol. 19(1) (2023) - [j14]Cédric Gerbelot, Alia Abbara, Florent Krzakala
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima's Replica Formula). IEEE Trans. Inf. Theory 69(3): 1824-1852 (2023) - [j13]Ali Bereyhi
Bayesian Inference With Nonlinear Generative Models: Comments on Secure Learning. IEEE Trans. Inf. Theory 69(12): 7998-8028 (2023) - [c79]Lucas Clarté, Bruno Loureiro, Florent Krzakala
On double-descent in uncertainty quantification in overparametrized models. AISTATS 2023: 7089-7125 - [c78]Luca Arnaboldi, Ludovic Stephan, Florent Krzakala
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. COLT 2023: 1199-1227 - [c77]Hugo Cui, Florent Krzakala
Bayes-optimal Learning of Deep Random Networks of Extensive-width. ICML 2023: 6468-6521 - [c76]Luca Pesce, Florent Krzakala
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. ICML 2023: 27680-27708 - [c75]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW 2023: 323-328 - [c74]Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová:
Universality laws for Gaussian mixtures in generalized linear models. NeurIPS 2023 - [c73]Aleksandr Pak, Justin Ko, Florent Krzakala:
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model. NeurIPS 2023 - [c72]Lucas Clarté, Bruno Loureiro, Florent Krzakala
Expectation consistency for calibration of neural networks. UAI 2023: 443-453 - [i141]Hugo Cui, Florent Krzakala
Optimal Learning of Deep Random Networks of Extensive-width. CoRR abs/2302.00375 (2023) - [i140]Luca Arnaboldi
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. CoRR abs/2302.05882 (2023) - [i139]Aleksandr Pak, Justin Ko, Florent Krzakala
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model. CoRR abs/2302.06665 (2023) - [i138]Luca Pesce
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation. CoRR abs/2302.08923 (2023) - [i137]Lucas Clarté, Bruno Loureiro, Florent Krzakala
Expectation consistency for calibration of neural networks. CoRR abs/2303.02644 (2023) - [i136]Vittorio Erba, Florent Krzakala
Statistical mechanics of the maximum-average submatrix problem. CoRR abs/2303.05237 (2023) - [i135]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR abs/2304.12127 (2023) - [i134]Yatin Dandi, Florent Krzakala
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR abs/2305.18270 (2023) - [i133]Luca Arnaboldi
Escaping mediocrity: how two-layer networks learn hard single-index models with SGD. CoRR abs/2305.18502 (2023) - [i132]Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala
Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers. CoRR abs/2305.18974 (2023) - [i131]Davide Ghio, Yatin Dandi, Florent Krzakala
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective. CoRR abs/2308.14085 (2023) - [i130]Hugo Cui, Florent Krzakala
Analysis of learning a flow-based generative model from limited sample complexity. CoRR abs/2310.03575 (2023) - 2022
- [c71]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP 2022: 3493-3497 - [c70]Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. ICML 2022: 14283-14314 - [c69]Ali Bereyhi, Bruno Loureiro, Florent Krzakala
Secure Coding via Gaussian Random Fields. ISIT 2022: 1241-1246 - [c68]Emanuele Troiani, Vittorio Erba, Florent Krzakala
Optimal denoising of rotationally invariant rectangular matrices. MSML 2022: 97-112 - [c67]Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová:
Multi-layer State Evolution Under Random Convolutional Design. NeurIPS 2022 - [c66]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS 2022 - [c65]Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. NeurIPS 2022 - [i129]Ali Bereyhi, Bruno Loureiro, Florent Krzakala, Ralf R. Müller, Hermann Schulz-Baldes:
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning. CoRR abs/2201.09986 (2022) - [i128]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR abs/2201.12655 (2022) - [i127]Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala:
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. CoRR abs/2201.13383 (2022) - [i126]Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. CoRR abs/2202.00293 (2022) - [i125]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Theoretical characterization of uncertainty in high-dimensional linear classification. CoRR abs/2202.03295 (2022) - [i124]Emanuele Troiani, Vittorio Erba, Florent Krzakala
Optimal denoising of rotationally invariant rectangular matrices. CoRR abs/2203.07752 (2022) - [i123]Ali Bereyhi, Bruno Loureiro, Florent Krzakala
Secure Coding via Gaussian Random Fields. CoRR abs/2205.08782 (2022) - [i122]Federica Gerace, Florent Krzakala
Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. CoRR abs/2205.13303 (2022) - [i121]Max Daniels, Cédric Gerbelot, Florent Krzakala
Multi-layer State Evolution Under Random Convolutional Design. CoRR abs/2205.13503 (2022) - [i120]Luca Pesce
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR abs/2205.13527 (2022) - [i119]Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala
Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR abs/2210.06591 (2022) - [i118]Lucas Clarté, Bruno Loureiro, Florent Krzakala
A study of uncertainty quantification in overparametrized high-dimensional models. CoRR abs/2210.12760 (2022) - 2021
- [j12]Benjamin Aubin
The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory 67(2): 1156-1181 (2021) - [c64]Charles Brossollet, Alessandro Cappelli, Igor Carron
LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. HCS 2021: 1-11 - [c63]Maria Refinetti, Sebastian Goldt
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. ICML 2021: 8936-8947 - [c62]Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala
The Gaussian equivalence of generative models for learning with shallow neural networks. MSML 2021: 426-471 - [c61]Antoine Maillard, Florent Krzakala
Construction of optimal spectral methods in phase retrieval. MSML 2021: 693-720 - [c60]Hugo Cui, Bruno Loureiro, Florent Krzakala
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. NeurIPS 2021: 10131-10143 - [c59]Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions. NeurIPS 2021: 10144-10157 - [c58]Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala
Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS 2021: 18137-18151 - [i117]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR abs/2101.02115 (2021) - [i116]Bruno Loureiro
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR abs/2102.08127 (2021) - [i115]Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová:
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. CoRR abs/2102.11742 (2021) - [i114]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. CoRR abs/2105.15004 (2021) - [i113]Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová:
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions. CoRR abs/2106.03791 (2021) - [i112]Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. CoRR abs/2107.11814 (2021) - [i111]Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. CoRR abs/2110.08775 (2021) - 2020
- [j11]Jean Barbier
Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. IEEE Trans. Inf. Theory 66(7): 4270-4303 (2020) - [c57]Cédric Gerbelot, Alia Abbara, Florent Krzakala
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices. COLT 2020: 1682-1713 - [c56]Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP 2020: 9294-9298 - [c55]Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime. ICML 2020: 2280-2290 - [c54]Federica Gerace, Bruno Loureiro, Florent Krzakala
Generalisation error in learning with random features and the hidden manifold model. ICML 2020: 3452-3462 - [c53]Francesca Mignacco, Florent Krzakala
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML 2020: 6874-6883 - [c52]Alia Abbara, Benjamin Aubin, Florent Krzakala
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. MSML 2020: 27-54 - [c51]Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. MSML 2020: 55-73 - [c50]Benjamin Aubin, Florent Krzakala
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. NeurIPS 2020 - [c49]Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
Reservoir Computing meets Recurrent Kernels and Structured Transforms. NeurIPS 2020 - [c48]Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. NeurIPS 2020 - [c47]Antoine Maillard, Bruno Loureiro, Florent Krzakala
Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS 2020 - [c46]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. NeurIPS 2020 - [c45]Francesca Mignacco, Florent Krzakala
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS 2020 - [i110]Mushegh Rafayelyan
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. CoRR abs/2001.09131 (2020) - [i109]Federica Gerace, Bruno Loureiro
Generalisation error in learning with random features and the hidden manifold model. CoRR abs/2002.09339 (2020) - [i108]Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
The role of regularization in classification of high-dimensional noisy Gaussian mixture. CoRR abs/2002.11544 (2020) - [i107]Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala:
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime. CoRR abs/2003.01054 (2020) - [i106]Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
TRAMP: Compositional Inference with TRee Approximate Message Passing. CoRR abs/2004.01571 (2020) - [i105]Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. CoRR abs/2006.01475 (2020) - [i104]Antoine Maillard
Phase retrieval in high dimensions: Statistical and computational phase transitions. CoRR abs/2006.05228 (2020) - [i103]Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. CoRR abs/2006.06098 (2020) - [i102]Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. CoRR abs/2006.06560 (2020) - [i101]Cédric Gerbelot, Alia Abbara, Florent Krzakala:
Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula). CoRR abs/2006.06581 (2020) - [i100]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. CoRR abs/2006.06997 (2020) - [i99]Jonathan Dong, Ruben Ohana
Reservoir Computing meets Recurrent Kernels and Structured Transforms. CoRR abs/2006.07310 (2020) - [i98]Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala:
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. CoRR abs/2006.12878 (2020) - [i97]Sebastian Goldt
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR abs/2006.14709 (2020) - [i96]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
Epidemic mitigation by statistical inference from contact tracing data. CoRR abs/2009.09422 (2020) - [i95]Antoine Maillard
Construction of optimal spectral methods in phase retrieval. CoRR abs/2012.04524 (2020) - [i94]Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. CoRR abs/2012.06373 (2020)
2010 – 2019
- 2019
- [j10]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala
Decoding from Pooled Data: Sharp Information-Theoretic Bounds. SIAM J. Math. Data Sci. 1(1): 161-188 (2019) - [j9]Ahmed El Alaoui
Decoding From Pooled Data: Phase Transitions of Message Passing. IEEE Trans. Inf. Theory 65(1): 572-585 (2019) - [c44]Marylou Gabrié, Jean Barbier
Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP 2019: 649-653 - [c43]Jonathan Dong, Florent Krzakala
Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media. ICASSP 2019: 4963-4967 - [c42]Stefano Sarao Mannelli
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. ICML 2019: 4333-4342 - [c41]Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. NeurIPS 2019: 6979-6989 - [c40]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala
The spiked matrix model with generative priors. NeurIPS 2019: 8364-8375 - [c39]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models. NeurIPS 2019: 8676-8686 - [i93]Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Generalisation dynamics of online learning in over-parameterised neural networks. CoRR abs/1901.09085 (2019) - [i92]Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. CoRR abs/1902.00139 (2019) - [i91]Benjamin Aubin, Bruno Loureiro
The spiked matrix model with generative priors. CoRR abs/1905.12385 (2019) - [i90]Julien Launay, Iacopo Poli, Florent Krzakala:
Principled Training of Neural Networks with Direct Feedback Alignment. CoRR abs/1906.04554 (2019) - [i89]Alia Abbara, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix. CoRR abs/1906.04735 (2019) - [i88]Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
High-temperature Expansions and Message Passing Algorithms. CoRR abs/1906.08479 (2019) - [i87]Sebastian Goldt
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. CoRR abs/1906.08632 (2019) - [i86]Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan:
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. CoRR abs/1907.00657 (2019) - [i85]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová:
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model. CoRR abs/1907.08226 (2019) - [i84]Sebastian Goldt
Modelling the influence of data structure on learning in neural networks. CoRR abs/1909.11500 (2019) - [i83]Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová:
Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR abs/1910.00285 (2019) - [i82]Ruben Ohana
Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR abs/1910.09880 (2019) - [i81]Benjamin Aubin, Bruno Loureiro
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. CoRR abs/1912.02008 (2019) - [i80]Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. CoRR abs/1912.02729 (2019) - 2018
- [c38]Jean Barbier, Florent Krzakala
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT 2018: 728-731 - [c37]Jean Barbier
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. ISIT 2018: 1390-1394 - [c36]Ahmed El Alaoui, Florent Krzakala
Estimation in the Spiked Wigner Model: A Short Proof of the Replica Formula. ISIT 2018: 1874-1878 - [c35]Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala
Entropy and mutual information in models of deep neural networks. NeurIPS 2018: 1826-1836 - [c34]Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala
The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS 2018: 3227-3238 - [c33]Jonathan Dong, Sylvain Gigan
Scaling Up Echo-State Networks With Multiple Light Scattering. SSP 2018: 448-452 - [i79]Ahmed El Alaoui, Florent Krzakala:
Estimation in the Spiked Wigner Model: A Short Proof of the Replica Formula. CoRR abs/1801.01593 (2018) - [i78]Jean Barbier, Nicolas Macris, Antoine Maillard, Florent Krzakala:
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices. CoRR abs/1802.08963 (2018) - [i77]Marylou Gabrié, Andre Manoel
Entropy and mutual information in models of deep neural networks. CoRR abs/1805.09785 (2018) - [i76]Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová:
The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR abs/1806.05451 (2018) - [i75]Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Approximate Survey Propagation for Statistical Inference. CoRR abs/1807.01296 (2018) - [i74]Andre Manoel
Approximate message-passing for convex optimization with non-separable penalties. CoRR abs/1809.06304 (2018) - [i73]Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová:
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. CoRR abs/1812.02537 (2018) - [i72]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. CoRR abs/1812.09066 (2018) - 2017
- [j8]Boshra Rajaei, Sylvain Gigan
Robust Phase Retrieval with the Swept Approximate Message Passing (prSAMP) Algorithm. Image Process. Line 7: 43-55 (2017) - [j7]Jean Barbier
Approximate Message-Passing Decoder and Capacity Achieving Sparse Superposition Codes. IEEE Trans. Inf. Theory 63(8): 4894-4927 (2017) - [j6]Junan Zhu, Dror Baron
Performance Limits for Noisy Multimeasurement Vector Problems. IEEE Trans. Signal Process. 65(9): 2444-2454 (2017) - [c32]Andre Manoel
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton 2017: 1048-1055 - [c31]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala
Statistical and computational phase transitions in spiked tensor estimation. ISIT 2017: 511-515 - [c30]Andre Manoel
Multi-layer generalized linear estimation. ISIT 2017: 2098-2102 - [c29]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala
Decoding from pooled data: Phase transitions of message passing. ISIT 2017: 2780-2784 - [c28]Amin Coja-Oghlan, Florent Krzakala
Information-theoretic thresholds from the cavity method. STOC 2017: 146-157 - [i71]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications. CoRR abs/1701.00858 (2017) - [i70]Jean Barbier, Nicolas Macris, Mohamad Dia, Florent Krzakala:
Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation. CoRR abs/1701.05823 (2017) - [i69]Andre Manoel
Multi-Layer Generalized Linear Estimation. CoRR abs/1701.06981 (2017) - [i68]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Statistical and computational phase transitions in spiked tensor estimation. CoRR abs/1701.08010 (2017) - [i67]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from Pooled Data: Phase Transitions of Message Passing. CoRR abs/1702.02279 (2017) - [i66]Eric W. Tramel, Marylou Gabrié, Andre Manoel
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR abs/1702.03260 (2017) - [i65]Andre Manoel
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR abs/1706.00705 (2017) - [i64]Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová:
Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. CoRR abs/1708.03395 (2017) - [i63]Ahmed El Alaoui, Florent Krzakala, Michael I. Jordan:
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model. CoRR abs/1710.02903 (2017) - 2016
- [j5]Boshra Rajaei
Fast Phase Retrieval for High Dimensions: A Block-Based Approach. IEEE Signal Process. Lett. 23(9): 1179-1182 (2016) - [j4]Yoshiyuki Kabashima, Florent Krzakala
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory 62(7): 4228-4265 (2016) - [c27]Thibault Lesieur, Caterina De Bacco
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. Allerton 2016: 601-608 - [c26]Jean Barbier
The mutual information in random linear estimation. Allerton 2016: 625-632 - [c25]Boshra Rajaei, Eric W. Tramel
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach. ICASSP 2016: 4054-4058 - [c24]Alaa Saade, Francesco Caltagirone, Igor Carron
Random projections through multiple optical scattering: Approximating Kernels at the speed of light. ICASSP 2016: 6215-6219 - [c23]Alaa Saade, Marc Lelarge, Florent Krzakala
Clustering from sparse pairwise measurements. ISIT 2016: 780-784 - [c22]Florent Krzakala
Mutual information in rank-one matrix estimation. ITW 2016: 71-75 - [c21]Eric W. Tramel, Andre Manoel
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW 2016: 265-269 - [c20]Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. NIPS 2016: 424-432 - [i62]Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Clustering from Sparse Pairwise Measurements. CoRR abs/1601.06683 (2016) - [i61]Boshra Rajaei, Sylvain Gigan, Florent Krzakala, Laurent Daudet:
Fast phase retrieval for high dimensions: A block-based approach. CoRR abs/1602.02944 (2016) - [i60]Florent Krzakala, Jiaming Xu, Lenka Zdeborová:
Mutual Information in Rank-One Matrix Estimation. CoRR abs/1603.08447 (2016) - [i59]Junan Zhu, Dror Baron, Florent Krzakala:
Performance Limits for Noisy Multi-Measurement Vector Problems. CoRR abs/1604.02475 (2016) - [i58]Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová:
Fast Randomized Semi-Supervised Clustering. CoRR abs/1605.06422 (2016) - [i57]Boshra Rajaei, Sylvain Gigan, Florent Krzakala, Laurent Daudet:
Robust phase retrieval with the swept approximate message passing (prSAMP) algorithm. CoRR abs/1605.07516 (2016) - [i56]Eric W. Tramel, Andre Manoel
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR abs/1606.03956 (2016) - [i55]Jean Barbier
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. CoRR abs/1606.04142 (2016) - [i54]Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala:
The Mutual Information in Random Linear Estimation. CoRR abs/1607.02335 (2016) - [i53]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - [i52]Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib:
Scaling up Echo-State Networks with multiple light scattering. CoRR abs/1609.05204 (2016) - [i51]Thibault Lesieur, Caterina De Bacco, Jess Banks, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. CoRR abs/1610.02918 (2016) - [i50]Amin Coja-Oghlan, Florent Krzakala, Will Perkins, Lenka Zdeborová:
Information-theoretic thresholds from the cavity method. CoRR abs/1611.00814 (2016) - [i49]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from Pooled Data: Sharp Information-Theoretic Bounds. CoRR abs/1611.09981 (2016) - 2015
- [c19]Maria Chiara Angelini
Spectral detection on sparse hypergraphs. Allerton 2015: 66-73 - [c18]Thibault Lesieur, Florent Krzakala
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel. Allerton 2015: 680-687 - [c17]Jeremy P. Vila, Philip Schniter
Adaptive damping and mean removal for the generalized approximate message passing algorithm. ICASSP 2015: 2021-2025 - [c16]Angélique Dremeau, Florent Krzakala
Phase recovery from a Bayesian point of view: The variational approach. ICASSP 2015: 3661-3665 - [c15]Andre Manoel, Florent Krzakala
Swept Approximate Message Passing for Sparse Estimation. ICML 2015: 1123-1132 - [c14]Alaa Saade, Marc Lelarge, Florent Krzakala
Spectral detection in the censored block model. ISIT 2015: 1184-1188 - [c13]Thibault Lesieur, Florent Krzakala
Phase transitions in sparse PCA. ISIT 2015: 1635-1639 - [c12]Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy. NIPS 2015: 640-648 - [c11]Alaa Saade, Florent Krzakala
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. NIPS 2015: 1261-1269 - [i48]Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová:
Spectral Detection in the Censored Block Model. CoRR abs/1502.00163 (2015) - [i47]Eric W. Tramel, Angélique Drémeau, Florent Krzakala:
Approximate Message Passing with Restricted Boltzmann Machine Priors. CoRR abs/1502.06470 (2015) - [i46]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
Phase Transitions in Sparse PCA. CoRR abs/1503.00338 (2015) - [i45]Jean Barbier, Florent Krzakala:
Approximate message-passing decoder and capacity-achieving sparse superposition codes. CoRR abs/1503.08040 (2015) - [i44]Marylou Gabrié, Eric W. Tramel, Florent Krzakala:
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy. CoRR abs/1506.02914 (2015) - [i43]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. CoRR abs/1506.03498 (2015) - [i42]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel. CoRR abs/1507.03857 (2015) - [i41]Maria Chiara Angelini, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Spectral Detection on Sparse Hypergraphs. CoRR abs/1507.04113 (2015) - [i40]Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet:
Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system. CoRR abs/1510.01098 (2015) - [i39]Alaa Saade, Francesco Caltagirone, Igor Carron, Laurent Daudet, Angélique Drémeau, Sylvain Gigan, Florent Krzakala:
Random Projections through multiple optical scattering: Approximating kernels at the speed of light. CoRR abs/1510.06664 (2015) - [i38]Lenka Zdeborová, Florent Krzakala:
Statistical physics of inference: Thresholds and algorithms. CoRR abs/1511.02476 (2015) - [i37]Jean Barbier, Eric W. Tramel, Florent Krzakala:
Scampi: a robust approximate message-passing framework for compressive imaging. CoRR abs/1511.05860 (2015) - 2014
- [j3]Florent Krzakala
Reweighted Belief Propagation and Quiet Planting for Random K-SAT. J. Satisf. Boolean Model. Comput. 8(3/4): 149-171 (2014) - [c10]Jean Barbier
Replica analysis and approximate message passing decoder for superposition codes. ISIT 2014: 1494-1498 - [c9]Florent Krzakala
Variational free energies for compressed sensing. ISIT 2014: 1499-1503 - [c8]Francesco Caltagirone, Lenka Zdeborová, Florent Krzakala
On convergence of approximate message passing. ISIT 2014: 1812-1816 - [c7]Alaa Saade, Florent Krzakala
Spectral Clustering of graphs with the Bethe Hessian. NIPS 2014: 406-414 - [i36]Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
On Convergence of Approximate Message Passing. CoRR abs/1401.6384 (2014) - [i35]Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová:
Phase transitions and sample complexity in Bayes-optimal matrix factorization. CoRR abs/1402.1298 (2014) - [i34]Florent Krzakala, Andre Manoel
Variational Free Energies for Compressed Sensing. CoRR abs/1402.1384 (2014) - [i33]Jean Barbier, Florent Krzakala:
Replica Analysis and Approximate Message Passing Decoder for Superposition Codes. CoRR abs/1403.8024 (2014) - [i32]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Spectral density of the non-backtracking operator. CoRR abs/1404.7787 (2014) - [i31]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Spectral Clustering of Graphs with the Bethe Hessian. CoRR abs/1406.1880 (2014) - [i30]Andre Manoel
Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR abs/1406.4311 (2014) - [i29]Angélique Dremeau, Florent Krzakala:
Phase recovery from a Bayesian point of view: the variational approach. CoRR abs/1410.1368 (2014) - [i28]Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová:
Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm. CoRR abs/1412.2005 (2014) - 2013
- [c6]Florent Krzakala
Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing. ICASSP 2013: 5519-5523 - [c5]Pan Zhang, Florent Krzakala
Non-adaptive pooling strategies for detection of rare faulty items. ICC Workshops 2013: 1409-1414 - [c4]Florent Krzakala
Phase diagram and approximate message passing for blind calibration and dictionary learning. ISIT 2013: 659-663 - [c3]Jean Barbier
Robust error correction for real-valued signals via message-passing decoding and spatial coupling. ITW 2013: 1-5 - [c2]Christophe Schülke, Francesco Caltagirone, Florent Krzakala
Blind Calibration in Compressed Sensing using Message Passing Algorithms. NIPS 2013: 566-574 - [i27]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing. CoRR abs/1301.0901 (2013) - [i26]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning. CoRR abs/1301.5898 (2013) - [i25]Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Non-adaptive pooling strategies for detection of rare faulty items. CoRR abs/1302.0189 (2013) - [i24]Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang:
Robust error correction for real-valued signals via message-passing decoding and spatial coupling. CoRR abs/1304.6599 (2013) - [i23]Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang:
The hard-core model on random graphs revisited. CoRR abs/1306.4121 (2013) - [i22]Christophe Schülke, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Blind Calibration in Compressed Sensing using Message Passing Algorithms. CoRR abs/1306.4355 (2013) - [i21]Florent Krzakala, Cristopher Moore, Elchanan Mossel, Joe Neeman, Allan Sly, Lenka Zdeborová, Pan Zhang:
Spectral redemption: clustering sparse networks. CoRR abs/1306.5550 (2013) - [i20]Jean Barbier, Florent Krzakala, Christophe Schülke:
Compressed sensing and Approximate Message Passing with spatially-coupled Fourier and Hadamard matrices. CoRR abs/1312.1740 (2013) - 2012
- [c1]Jean Barbier
Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference 2012: 800-807 - [i19]Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová:
Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices. CoRR abs/1206.3953 (2012) - [i18]Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction. CoRR abs/1207.2079 (2012) - [i17]Pan Zhang, Florent Krzakala, Jörg Reichardt, Lenka Zdeborová:
Comparative Study for Inference of Hidden Classes in Stochastic Block Models. CoRR abs/1207.2328 (2012) - [i16]Xiaoran Yan, Jacob E. Jensen, Florent Krzakala, Cristopher Moore, Cosma Rohilla Shalizi, Lenka Zdeborová, Pan Zhang, Yaojia Zhu:
Model Selection for Degree-corrected Block Models. CoRR abs/1207.3994 (2012) - [i15]Victor Bapst, Laura Foini, Florent Krzakala, Guilhem Semerjian, Francesco Zamponi:
The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective. CoRR abs/1210.0811 (2012) - [i14]Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Belief Propagation Reconstruction for Discrete Tomography. CoRR abs/1211.2379 (2012) - 2011
- [j2]Lenka Zdeborová, Florent Krzakala
Quiet Planting in the Locked Constraint Satisfaction Problems. SIAM J. Discret. Math. 25(2): 750-770 (2011) - [i13]Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Phase transition in the detection of modules in sparse networks. CoRR abs/1102.1182 (2011) - [i12]Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. CoRR abs/1109.3041 (2011) - [i11]Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová:
Statistical physics-based reconstruction in compressed sensing. CoRR abs/1109.4424 (2011)
2000 – 2009
- 2009
- [i10]Florent Krzakala, Lenka Zdeborová:
Hiding Quiet Solutions in Random Constraint Satisfaction Problems. CoRR abs/0901.2130 (2009) - [i9]Lenka Zdeborová, Florent Krzakala:
Quiet Planting in the Locked Constraint Satisfaction Problems. CoRR abs/0902.4185 (2009) - [i8]Thomas Jörg, Florent Krzakala, Guilhem Semerjian, Francesco Zamponi:
First-order transitions and the performance of quantum algorithms in random optimization problems. CoRR abs/0911.3438 (2009) - [i7]Thomas Jörg, Florent Krzakala, Jorge Kurchan, Anthony C. Maggs, J. Pujos:
Quantum energy gaps and first-order mean-field-like transitions. CoRR abs/0912.4865 (2009) - 2007
- [j1]Florent Krzakala
Gibbs states and the set of solutions of random constraint satisfaction problems. Proc. Natl. Acad. Sci. USA 104(25): 10318-10323 (2007) - [i6]Lenka Zdeborová, Florent Krzakala:
Phase Transitions in the Coloring of Random Graphs. CoRR abs/0704.1269 (2007) - [i5]Florent Krzakala, Jorge Kurchan:
Constraint optimization and landscapes. CoRR abs/0709.1023 (2007) - [i4]Florent Krzakala, Lenka Zdeborová:
Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems. CoRR abs/0711.0110 (2007) - [i3]Florent Krzakala, Jorge Kurchan:
A Landscape Analysis of Constraint Satisfaction Problems. CoRR abs/cond-mat/0702546 (2007) - 2006
- [i2]Florent Krzakala, Andrea Montanari, Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová:
Gibbs States and the Set of Solutions of Random Constraint Satisfaction Problems. CoRR abs/cond-mat/0612365 (2006) - 2004
- [i1]Florent Krzakala, Andrea Pagnani, Martin Weigt:
Threshold values, stability analysis and high-q asymptotics for the coloring problem on random graphs. CoRR cond-mat/0403725 (2004)
Coauthor Index
[c83] [c82] [i153] [i152] [i151] [i147] [i146] [i142] [j16] [j13] [c79] [c78] [c76] [c74] [c72] [i140] [i138] [i137] [i134] [i133] [c70] [c69] [c66] [c65] [i129] [i128] [i127] [i126] [i125] [i123] [i122] [i120] [i118] [j12] [c62] [c60] [c59] [c58] [i116] [i114] [i113] [c54] [c51] [c47] [i109] [i104] [c40] [i91] [i81]
[j18] [c85] [c84] [c82] [c81] [i155] [i154] [i153] [i151] [i149] [i147] [i145] [i144] [j17] [j16] [j15] [c79] [c77] [c75] [c74] [c72] [i141] [i137] [i136] [i135] [i131] [i130] [c68] [c67] [c66] [c65] [i128] [i126] [i125] [i124] [i122] [i121] [i120] [i119] [i118] [j12] [c63] [c62] [c61] [c60] [c59] [c58] [i116] [i115] [i114] [i113] [i111] [c54] [c53] [c52] [c51] [c50] [c47] [c46] [c45] [i109] [i108] [i106] [i104] [i103] [i102] [i100] [i97] [i96] [i95] [j10] [j9] [c44] [c42] [c41] [c40] [c39] [i93] [i92] [i91] [i89] [i88] [i87] [i85] [i84] [i83] [i81] [i80] [c38] [c35] [c34] [i77] [i76] [i75] [i74] [i73] [i72] [c32] [c31] [c30] [c29] [c28] [i71] [i69] [i68] [i67] [i65] [i64] [j4] [c27] [c23] [c22] [c20] [i62] [i60] [i58] [i55] [i51] [i50] [i49] [c19] [c18] [c17] [c15] [c14] [c13] [c11] [i48] [i46] [i43] [i42] [i41] [i38] [j3] [c9] [c8] [c7] [i36] [i35] [i34] [i32] [i31] [i30] [i28] [c6] [c5] [c4] [c3] [c2] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c1] [i19] [i18] [i17] [i16] [i14] [j2] [i13] [i12] [i11] [i10] [i9] [j1] [i6] [i4] [i2]
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