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2020 – today
- 2024
[j19]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)- [j18]O. Duranthon, Lenka Zdeborová:
Optimal Inference in Contextual Stochastic Block Models. Trans. Mach. Learn. Res. 2024 (2024) - [c67]Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová:
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation. COLT 2024: 3873 - [c66]Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová:
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity. ICLR 2024 - [c65]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 - [c64]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 - [i154]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. CoRR abs/2402.03220 (2024) - [i153]Odilon Duranthon, Lenka Zdeborová:
Asymptotic generalization error of a single-layer graph convolutional network. CoRR abs/2402.03818 (2024) - [i152]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) - [i151]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. CoRR abs/2402.04980 (2024) - [i150]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) - [i149]Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová:
Fundamental limits of Non-Linear Low-Rank Matrix Estimation. CoRR abs/2403.04234 (2024) - [i148]Rayan Harfouche, Giovanni Piccioli, Lenka Zdeborová:
Integer Traffic Assignment Problem: Algorithms and Insights on Random Graphs. CoRR abs/2405.10763 (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]Christian Keup, Lenka Zdeborová:
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions. CoRR abs/2407.03522 (2024) - [i145]Freya Behrens, Luca Biggio, Lenka Zdeborová:
Understanding Counting in Small Transformers: The Interplay between Attention and Feed-Forward Layers. CoRR abs/2407.11542 (2024) - [i144]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) - [i143]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) - [i142]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:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [j17]Antoine Baker, Florent Krzakala, Benjamin Aubin, Lenka Zdeborová:
Tree-AMP: Compositional Inference with Tree Approximate Message Passing. J. Mach. Learn. Res. 24: 57:1-57:89 (2023) - [j16]Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová:
Learning curves for the multi-class teacher-student perceptron. Mach. Learn. Sci. Technol. 4(1): 15019 (2023) - [j15]Odilon Duranthon, Lenka Zdeborová:
Neural-prior stochastic block model. Mach. Learn. Sci. Technol. 4(3): 35017 (2023) - [j14]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error scaling laws for kernel classification under source and capacity conditions. Mach. Learn. Sci. Technol. 4(3): 35033 (2023) - [j13]Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel:
Bayesian reconstruction of memories stored in neural networks from their connectivity. PLoS Comput. Biol. 19(1) (2023) - [c63]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
On double-descent in uncertainty quantification in overparametrized models. AISTATS 2023: 7089-7125 - [c62]Hugo Cui, Florent Krzakala, Lenka Zdeborová:
Bayes-optimal Learning of Deep Random Networks of Extensive-width. ICML 2023: 6468-6521 - [c61]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW 2023: 323-328 - [c60]Hugo Cui, Lenka Zdeborová:
High-dimensional Asymptotics of Denoising Autoencoders. NeurIPS 2023 - [c59]Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová:
Universality laws for Gaussian mixtures in generalized linear models. NeurIPS 2023 - [c58]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Expectation consistency for calibration of neural networks. UAI 2023: 443-453 - [i141]Hugo Cui, Florent Krzakala, Lenka Zdeborová:
Optimal Learning of Deep Random Networks of Extensive-width. CoRR abs/2302.00375 (2023) - [i140]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Expectation consistency for calibration of neural networks. CoRR abs/2303.02644 (2023) - [i139]Vittorio Erba, Florent Krzakala, Rodrigo Pérez, Lenka Zdeborová:
Statistical mechanics of the maximum-average submatrix problem. CoRR abs/2303.05237 (2023) - [i138]Odilon Duranthon, Lenka Zdeborová:
Neural-prior stochastic block model. CoRR abs/2303.09995 (2023) - [i137]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR abs/2304.12127 (2023) - [i136]Hugo Cui, Lenka Zdeborová:
High-dimensional Asymptotics of Denoising Autoencoders. CoRR abs/2305.11041 (2023) - [i135]Giovanni Piccioli, Emanuele Troiani, Lenka Zdeborová:
Gibbs Sampling the Posterior of Neural Networks. CoRR abs/2306.02729 (2023) - [i134]Odilon Duranthon, Lenka Zdeborová:
Optimal Inference in Contextual Stochastic Block Models. CoRR abs/2306.07948 (2023) - [i133]Davide Ghio, Yatin Dandi, Florent Krzakala, Lenka Zdeborová:
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective. CoRR abs/2308.14085 (2023) - [i132]Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová:
Analysis of learning a flow-based generative model from limited sample complexity. CoRR abs/2310.03575 (2023) - 2022
- [j12]Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová:
Probing transfer learning with a model of synthetic correlated datasets. Mach. Learn. Sci. Technol. 3(1): 15030 (2022) - [c57]Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová:
Optimal denoising of rotationally invariant rectangular matrices. MSML 2022: 97-112 - [c56]Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová:
Multi-layer State Evolution Under Random Convolutional Design. NeurIPS 2022 - [c55]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS 2022 - [c54]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 - [i131]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR abs/2201.12655 (2022) - [i130]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) - [i129]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Theoretical characterization of uncertainty in high-dimensional linear classification. CoRR abs/2202.03295 (2022) - [i128]Freya Behrens, Gabriel Arpino, Yaroslav Kivva, Lenka Zdeborová:
(Dis)assortative Partitions on Random Regular Graphs. CoRR abs/2202.10379 (2022) - [i127]Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová:
Optimal denoising of rotationally invariant rectangular matrices. CoRR abs/2203.07752 (2022) - [i126]Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová:
Learning curves for the multi-class teacher-student perceptron. CoRR abs/2203.12094 (2022) - [i125]Federica Gerace, Florent Krzakala, Bruno Loureiro, Ludovic Stephan, Lenka Zdeborová:
Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. CoRR abs/2205.13303 (2022) - [i124]Max Daniels, Cédric Gerbelot, Florent Krzakala, Lenka Zdeborová:
Multi-layer State Evolution Under Random Convolutional Design. CoRR abs/2205.13503 (2022) - [i123]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR abs/2205.13527 (2022) - [i122]Siyu Chen, Guanhao Huang, Giovanni Piccioli, Lenka Zdeborová:
The planted XY model: thermodynamics and inference. CoRR abs/2208.06488 (2022) - [i121]Urte Adomaityte, Anshul Toshniwal, Gabriele Sicuro, Lenka Zdeborová:
Planted matching problems on random hypergraphs. CoRR abs/2209.03423 (2022) - [i120]Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová:
Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR abs/2210.06591 (2022) - [i119]David Gamarnik, Cristopher Moore, Lenka Zdeborová:
Disordered Systems Insights on Computational Hardness. CoRR abs/2210.08312 (2022) - [i118]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
A study of uncertainty quantification in overparametrized high-dimensional models. CoRR abs/2210.12760 (2022) - 2021
- [j11]Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová:
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. Mach. Learn. Sci. Technol. 2(3): 35029 (2021) - [j10]Hugo Cui, Luca Saglietti, Lenka Zdeborová:
Large deviations in the perceptron model and consequences for active learning. Mach. Learn. Sci. Technol. 2(4): 45001 (2021) - [j9]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory 67(2): 1156-1181 (2021) - [c53]Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová:
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. ICML 2021: 8936-8947 - [c52]Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
The Gaussian equivalence of generative models for learning with shallow neural networks. MSML 2021: 426-471 - [c51]Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Construction of optimal spectral methods in phase retrieval. MSML 2021: 693-720 - [c50]Luca Saglietti, Lenka Zdeborová:
Solvable Model for Inheriting the Regularization through Knowledge Distillation. MSML 2021: 809-846 - [c49]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. NeurIPS 2021: 10131-10143 - [c48]Bruno Loureiro, Gabriele Sicuro, Cédric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová:
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions. NeurIPS 2021: 10144-10157 - [c47]Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS 2021: 18137-18151 - [e1]Joan Bruna, Jan S. Hesthaven, Lenka Zdeborová:
Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland. Proceedings of Machine Learning Research 145, PMLR 2021 [contents] - [i117]Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR abs/2102.08127 (2021) - [i116]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) - [i115]Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová:
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. CoRR abs/2103.04902 (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]Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová:
Probing transfer learning with a model of synthetic correlated datasets. CoRR abs/2106.05418 (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) - [i110]Giovanni Piccioli, Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová:
Aligning random graphs with a sub-tree similarity message-passing algorithm. CoRR abs/2112.13079 (2021) - 2020
- [j8]William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Multilayer Modularity Belief Propagation to Assess Detectability of Community Structure. SIAM J. Math. Data Sci. 2(3): 872-900 (2020) - [c46]Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Generalisation error in learning with random features and the hidden manifold model. ICML 2020: 3452-3462 - [c45]Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborová:
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML 2020: 6874-6883 - [c44]Frédéric Jolivet, Clarisse Fournier, Michel Garcin, Lenka Zdeborová, Andrea Brambilla:
An Alternating Projection-Image Domains Algorithm for Spectral CT. ISBI 2020: 187-190 - [c43]Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. MSML 2020: 27-54 - [c42]Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. MSML 2020: 55-73 - [c41]Hugo Cui, Luca Saglietti, Lenka Zdeborová:
Large deviations for the perceptron model and consequences for active learning. MSML 2020: 390-430 - [c40]Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. NeurIPS 2020 - [c39]Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS 2020 - [c38]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. NeurIPS 2020 - [c37]Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová:
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions. NeurIPS 2020 - [c36]Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS 2020 - [i109]Stefano Sarao Mannelli, Lenka Zdeborová:
Thresholds of descending algorithms in inference problems. CoRR abs/2001.00479 (2020) - [i108]Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Generalisation error in learning with random features and the hidden manifold model. CoRR abs/2002.09339 (2020) - [i107]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) - [i106]Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
TRAMP: Compositional Inference with TRee Approximate Message Passing. CoRR abs/2004.01571 (2020) - [i105]Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová:
Recovery thresholds in the sparse planted matching problem. CoRR abs/2005.11274 (2020) - [i104]Antoine Maillard, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
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]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) - [i100]Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová:
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR abs/2006.14709 (2020) - [i99]Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová:
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions. CoRR abs/2006.15459 (2020) - [i98]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:
Epidemic mitigation by statistical inference from contact tracing data. CoRR abs/2009.09422 (2020) - [i97]Gabriele Sicuro, Lenka Zdeborová:
The planted k-factor problem. CoRR abs/2010.13700 (2020) - [i96]Luca Saglietti, Lenka Zdeborová:
Solvable Model for Inheriting the Regularization through Knowledge Distillation. CoRR abs/2012.00194 (2020) - [i95]Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Construction of optimal spectral methods in phase retrieval. CoRR abs/2012.04524 (2020)
2010 – 2019
- 2019
- [j7]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from Pooled Data: Sharp Information-Theoretic Bounds. SIAM J. Math. Data Sci. 1(1): 161-188 (2019) - [j6]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding From Pooled Data: Phase Transitions of Message Passing. IEEE Trans. Inf. Theory 65(1): 572-585 (2019) - [c35]Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová:
Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP 2019: 649-653 - [c34]Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. ICML 2019: 4333-4342 - [c33]Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. NeurIPS 2019: 6979-6989 - [c32]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. NeurIPS 2019: 8364-8375 - [c31]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová:
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models. NeurIPS 2019: 8676-8686 - [i94]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) - [i93]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) - [i92]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. CoRR abs/1905.12385 (2019) - [i91]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) - [i90]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) - [i89]Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. CoRR abs/1906.08632 (2019) - [i88]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) - [i87]William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Modularity belief propagation on multilayer networks to detect significant community structure. CoRR abs/1908.04653 (2019) - [i86]Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová:
Modelling the influence of data structure on learning in neural networks. CoRR abs/1909.11500 (2019) - [i85]Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová:
Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR abs/1910.00285 (2019) - [i84]Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. CoRR abs/1912.02008 (2019) - [i83]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) - [i82]Hugo Cui, Luca Saglietti, Lenka Zdeborová:
Large deviations for the perceptron model and consequences for active learning. CoRR abs/1912.03927 (2019) - 2018
- [c30]Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová:
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT 2018: 728-731 - [c29]Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová:
Entropy and mutual information in models of deep neural networks. NeurIPS 2018: 1826-1836 - [c28]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. NeurIPS 2018: 3227-3238 - [i81]Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová:
On the glassy nature of the hard phase in inference problems. CoRR abs/1805.05857 (2018) - [i80]Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová:
Entropy and mutual information in models of deep neural networks. CoRR abs/1805.09785 (2018) - [i79]Christian Schmidt, Henry D. Pfister, Lenka Zdeborová:
On Minimal Sets to Destroy the k-Core in Random Networks. CoRR abs/1806.03134 (2018) - [i78]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) - [i77]Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová:
Typology of phase transitions in Bayesian inference problems. CoRR abs/1806.11013 (2018) - [i76]Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Approximate Survey Propagation for Statistical Inference. CoRR abs/1807.01296 (2018) - [i75]Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion, Lenka Zdeborová:
Approximate message-passing for convex optimization with non-separable penalties. CoRR abs/1809.06304 (2018) - [i74]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) - [i73]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
- [c27]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing. Allerton 2017: 1048-1055 - [c26]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Statistical and computational phase transitions in spiked tensor estimation. ISIT 2017: 511-515 - [c25]Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Multi-layer generalized linear estimation. ISIT 2017: 2098-2102 - [c24]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from pooled data: Phase transitions of message passing. ISIT 2017: 2780-2784 - [c23]Amin Coja-Oghlan, Florent Krzakala, Will Perkins, Lenka Zdeborová:
Information-theoretic thresholds from the cavity method. STOC 2017: 146-157 - [i72]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications. CoRR abs/1701.00858 (2017) - [i71]Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Multi-Layer Generalized Linear Estimation. CoRR abs/1701.06981 (2017) - [i70]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Statistical and computational phase transitions in spiked tensor estimation. CoRR abs/1701.08010 (2017) - [i69]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) - [i68]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. CoRR abs/1706.00705 (2017) - [i67]Marylou Gabrié, Varsha Dani, Guilhem Semerjian, Lenka Zdeborová:
Phase transitions in the $q$-coloring of random hypergraphs. CoRR abs/1707.01983 (2017) - [i66]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) - 2016
- [j5]Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová:
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory 62(7): 4228-4265 (2016) - [c22]Thibault Lesieur, Caterina De Bacco, Jess Banks, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. Allerton 2016: 601-608 - [c21]Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Clustering from sparse pairwise measurements. ISIT 2016: 780-784 - [c20]Florent Krzakala, Jiaming Xu, Lenka Zdeborová:
Mutual information in rank-one matrix estimation. ITW 2016: 71-75 - [c19]Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová:
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. NIPS 2016: 424-432 - [i65]Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Clustering from Sparse Pairwise Measurements. CoRR abs/1601.06683 (2016) - [i64]Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian, Lenka Zdeborová:
The large deviations of the whitening process in random constraint satisfaction problems. CoRR abs/1602.01700 (2016) - [i63]Florent Krzakala, Jiaming Xu, Lenka Zdeborová:
Mutual Information in Rank-One Matrix Estimation. CoRR abs/1603.08447 (2016) - [i62]Alfredo Braunstein, Luca Dall'Asta, Guilhem Semerjian, Lenka Zdeborová:
Network dismantling. CoRR abs/1603.08883 (2016) - [i61]Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová:
Fast Randomized Semi-Supervised Clustering. CoRR abs/1605.06422 (2016) - [i60]Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Thibault Lesieur, Lenka Zdeborová:
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. CoRR abs/1606.04142 (2016) - [i59]Christophe Schülke, Philip Schniter, Lenka Zdeborová:
Phase diagram of matrix compressed sensing. CoRR abs/1606.08496 (2016) - [i58]Lenka Zdeborová, Pan Zhang, Hai-Jun Zhou:
Fast and simple decycling and dismantling of networks. CoRR abs/1607.03276 (2016) - [i57]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) - [i56]Amin Coja-Oghlan, Florent Krzakala, Will Perkins, Lenka Zdeborová:
Information-theoretic thresholds from the cavity method. CoRR abs/1611.00814 (2016) - [i55]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
- [c18]Maria Chiara Angelini, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Spectral detection on sparse hypergraphs. Allerton 2015: 66-73 - [c17]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel. Allerton 2015: 680-687 - [c16]Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová:
Adaptive damping and mean removal for the generalized approximate message passing algorithm. ICASSP 2015: 2021-2025 - [c15]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Swept Approximate Message Passing for Sparse Estimation. ICML 2015: 1123-1132 - [c14]Alaa Saade, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Spectral detection in the censored block model. ISIT 2015: 1184-1188 - [c13]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
Phase transitions in sparse PCA. ISIT 2015: 1635-1639 - [c12]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. NIPS 2015: 1261-1269 - [i54]Alaa Saade, Florent Krzakala, Marc Lelarge, Lenka Zdeborová:
Spectral Detection in the Censored Block Model. CoRR abs/1502.00163 (2015) - [i53]Thibault Lesieur, Florent Krzakala, Lenka Zdeborová:
Phase Transitions in Sparse PCA. CoRR abs/1503.00338 (2015) - [i52]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. CoRR abs/1506.03498 (2015) - [i51]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) - [i50]Maria Chiara Angelini, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Spectral Detection on Sparse Hypergraphs. CoRR abs/1507.04113 (2015) - [i49]Lenka Zdeborová, Florent Krzakala:
Statistical physics of inference: Thresholds and algorithms. CoRR abs/1511.02476 (2015) - 2014
- [j4]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Reweighted Belief Propagation and Quiet Planting for Random K-SAT. J. Satisf. Boolean Model. Comput. 8(3/4): 149-171 (2014) - [c11]Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová:
Variational free energies for compressed sensing. ISIT 2014: 1499-1503 - [c10]Francesco Caltagirone, Lenka Zdeborová, Florent Krzakala:
On convergence of approximate message passing. ISIT 2014: 1812-1816 - [c9]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Spectral Clustering of graphs with the Bethe Hessian. NIPS 2014: 406-414 - [i48]Francesco Caltagirone, Lenka Zdeborová:
Properties of spatial coupling in compressed sensing. CoRR abs/1401.6380 (2014) - [i47]Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
On Convergence of Approximate Message Passing. CoRR abs/1401.6384 (2014) - [i46]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) - [i45]Florent Krzakala, Andre Manoel, Eric W. Tramel, Lenka Zdeborová:
Variational Free Energies for Compressed Sensing. CoRR abs/1402.1384 (2014) - [i44]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Spectral density of the non-backtracking operator. CoRR abs/1404.7787 (2014) - [i43]Pan Zhang, Cristopher Moore, Lenka Zdeborová:
Phase transitions in semisupervised clustering of sparse networks. CoRR abs/1404.7789 (2014) - [i42]Brian Karrer, Mark E. J. Newman, Lenka Zdeborová:
Percolation on sparse networks. CoRR abs/1405.0483 (2014) - [i41]Alaa Saade, Florent Krzakala, Lenka Zdeborová:
Spectral Clustering of Graphs with the Bethe Hessian. CoRR abs/1406.1880 (2014) - [i40]Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborová:
Bayesian signal reconstruction for 1-bit compressed sensing. CoRR abs/1406.3782 (2014) - [i39]Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová:
Sparse Estimation with the Swept Approximated Message-Passing Algorithm. CoRR abs/1406.4311 (2014) - [i38]Christophe Schülke, Francesco Caltagirone, Lenka Zdeborová:
Blind Sensor Calibration using Approximate Message Passing. CoRR abs/1406.5903 (2014) - [i37]Andrey Y. Lokhov, Marc Mézard, Lenka Zdeborová:
Dynamic message-passing equations for models with unidirectional dynamics. CoRR abs/1407.1255 (2014) - [i36]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
- [c8]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing. ICASSP 2013: 5519-5523 - [c7]Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Non-adaptive pooling strategies for detection of rare faulty items. ICC Workshops 2013: 1409-1414 - [c6]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Phase diagram and approximate message passing for blind calibration and dictionary learning. ISIT 2013: 659-663 - [c5]Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang:
Robust error correction for real-valued signals via message-passing decoding and spatial coupling. ITW 2013: 1-5 - [c4]Christophe Schülke, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Blind Calibration in Compressed Sensing using Message Passing Algorithms. NIPS 2013: 566-574 - [i35]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing. CoRR abs/1301.0901 (2013) - [i34]Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning. CoRR abs/1301.5898 (2013) - [i33]Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Non-adaptive pooling strategies for detection of rare faulty items. CoRR abs/1302.0189 (2013) - [i32]Andrey Y. Lokhov, Marc Mézard, Hiroki Ohta, Lenka Zdeborová:
Inferring the origin of an epidemy with dynamic message-passing algorithm. CoRR abs/1303.5315 (2013) - [i31]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) - [i30]Jean Barbier, Florent Krzakala, Lenka Zdeborová, Pan Zhang:
The hard-core model on random graphs revisited. CoRR abs/1306.4121 (2013) - [i29]Christophe Schülke, Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová:
Blind Calibration in Compressed Sensing using Message Passing Algorithms. CoRR abs/1306.4355 (2013) - [i28]Florent Krzakala, Cristopher Moore, Elchanan Mossel, Joe Neeman, Allan Sly, Lenka Zdeborová, Pan Zhang:
Spectral redemption: clustering sparse networks. CoRR abs/1306.5550 (2013) - [i27]Francesco Caltagirone, Silvio Franz, Richard Morris, Lenka Zdeborová:
Dynamics and termination cost of spatially coupled mean-field models. CoRR abs/1310.2121 (2013) - 2012
- [c3]Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference 2012: 800-807 - [c2]Amin Coja-Oghlan, Lenka Zdeborová:
The condensation transition in random hypergraph 2-coloring. SODA 2012: 241-250 - [i26]Pan Zhang, Abolfazl Ramezanpour, Lenka Zdeborová, Riccardo Zecchina:
Message passing for quantified Boolean formulas. CoRR abs/1202.2536 (2012) - [i25]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) - [i24]Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction. CoRR abs/1207.2079 (2012) - [i23]Pan Zhang, Florent Krzakala, Jörg Reichardt, Lenka Zdeborová:
Comparative Study for Inference of Hidden Classes in Stochastic Block Models. CoRR abs/1207.2328 (2012) - [i22]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) - [i21]Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Belief Propagation Reconstruction for Discrete Tomography. CoRR abs/1211.2379 (2012) - 2011
- [j3]Lenka Zdeborová, Florent Krzakala:
Quiet Planting in the Locked Constraint Satisfaction Problems. SIAM J. Discret. Math. 25(2): 750-770 (2011) - [i20]Aurélien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová:
Phase transition in the detection of modules in sparse networks. CoRR abs/1102.1182 (2011) - [i19]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) - [i18]Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová:
Statistical physics-based reconstruction in compressed sensing. CoRR abs/1109.4424 (2011) - 2010
- [c1]Lenka Zdeborová, Scott Backhaus, Michael Chertkov:
Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid. HICSS 2010: 1-10 - [i17]Michele Castellana, Lenka Zdeborová:
Adversarial Satisfiability Problem. CoRR abs/1011.1273 (2010)
2000 – 2009
- 2009
- [i16]Florent Krzakala, Lenka Zdeborová:
Hiding Quiet Solutions in Random Constraint Satisfaction Problems. CoRR abs/0901.2130 (2009) - [i15]Lenka Zdeborová, Florent Krzakala:
Quiet Planting in the Locked Constraint Satisfaction Problems. CoRR abs/0902.4185 (2009) - [i14]Lenka Zdeborová, Michael Chertkov:
Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines. CoRR abs/0904.0477 (2009) - [i13]Lenka Zdeborová, Scott Backhaus, Michael Chertkov:
Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid. CoRR abs/0909.2358 (2009) - [i12]P. Sulc, Lenka Zdeborová:
Belief propagation for graph partitioning. CoRR abs/0912.3563 (2009) - [i11]Lenka Zdeborová, Stefan Boettcher:
Conjecture on the maximum cut and bisection width in random regular graphs. CoRR abs/0912.4861 (2009) - 2008
- [j2]Martin Loebl, Lenka Zdeborová:
The 3D Dimer and Ising problems revisited. Eur. J. Comb. 29(4): 966-978 (2008) - [i10]Lenka Zdeborová, Marc Mézard:
Hard constraint satisfaction problems. CoRR abs/0803.2955 (2008) - [i9]John Ardelius, Lenka Zdeborová:
Exhaustive enumeration unveils clustering and freezing in random 3-SAT. CoRR abs/0804.0362 (2008) - [i8]Lenka Zdeborová:
Statistical Physics of Hard Optimization Problems. CoRR abs/0806.4112 (2008) - [i7]Lenka Zdeborová, Marc Mézard:
Constraint satisfaction problems with isolated solutions are hard. CoRR abs/0810.1499 (2008) - 2007
- [j1]Florent Krzakala, Andrea Montanari, Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová:
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]Thierry Mora, Lenka Zdeborová:
Random subcubes as a toy model for constraint satisfaction problems. CoRR abs/0710.3804 (2007) - [i4]Florent Krzakala, Lenka Zdeborová:
Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems. CoRR abs/0711.0110 (2007) - [i3]Elitza N. Maneva, Talya Meltzer, Jack Raymond, Andrea Sportiello, Lenka Zdeborová:
A Hike in the Phases of the 1-in-3 Satisfiability. CoRR abs/cond-mat/0702421 (2007) - 2006
- [i2]Lenka Zdeborová, Marc Mézard:
The number of matchings in random graphs. CoRR abs/cond-mat/0603350 (2006) - [i1]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)
Coauthor Index
[j19] [c67] [c66] [c65] [c64] [i154] [i152] [i151] [i150] [i149] [i147] [i144] [i143] [j17] [j14] [j13] [c63] [c62] [c61] [c59] [c58] [i141] [i140] [i139] [i137] [i133] [i132] [c57] [c56] [c55] [c54] [i131] [i130] [i129] [i127] [i125] [i124] [i123] [i120] [i118] [j9] [c53] [c52] [c51] [c49] [c48] [c47] [i117] [i116] [i114] [i113] [i111] [c46] [c45] [c43] [c42] [c40] [c39] [c38] [c36] [i108] [i107] [i106] [i104] [i103] [i102] [i101] [i100] [i98] [i95] [j7] [j6] [c35] [c34] [c33] [c32] [c31] [i94] [i93] [i92] [i91] [i90] [i89] [i88] [i86] [i85] [i84] [i83] [c30] [c29] [c28] [i80] [i78] [i76] [i75] [i74] [i73] [c27] [c26] [c25] [c24] [c23] [i72] [i71] [i70] [i69] [i68] [i66] [j5] [c22] [c21] [c20] [c19] [i65] [i63] [i61] [i60] [i57] [i56] [i55] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i54] [i53] [i52] [i51] [i50] [i49] [j4] [c11] [c10] [c9] [i47] [i46] [i45] [i44] [i41] [i39] [i36] [c8] [c7] [c6] [c5] [c4] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [c3] [i25] [i24] [i23] [i22] [i21] [j3] [i20] [i19] [i18] [i16] [i15] [j1] [i6] [i4] [i1]
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last updated on 2024-10-08 20:35 CEST by the dblp team
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