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2020 – today
- 2022
[i123]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR abs/2201.12655 (2022)- [i122]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) - [i121]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Theoretical characterization of uncertainty in high-dimensional linear classification. CoRR abs/2202.03295 (2022) - [i120]Freya Behrens, Gabriel Arpino, Yaroslav Kivva, Lenka Zdeborová:
(Dis)assortative Partitions on Random Regular Graphs. CoRR abs/2202.10379 (2022) - [i119]Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová:
Optimal denoising of rotationally invariant rectangular matrices. CoRR abs/2203.07752 (2022) - [i118]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) - 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]