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Bruno Loureiro
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2020 – today
- 2024
- [c23]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 - [c22]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 - [c21]Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro:
Asymptotics of Learning with Deep Structured (Random) Features. ICML 2024 - [i31]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) - [i30]Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala:
A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs. CoRR abs/2402.05674 (2024) - [i29]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) - [i28]Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro:
Asymptotics of Learning with Deep Structured (Random) Features. CoRR abs/2402.13999 (2024) - [i27]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) - [i26]Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz:
Dimension-free deterministic equivalents for random feature regression. CoRR abs/2405.15699 (2024) - [i25]Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce
, Ludovic Stephan:
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. CoRR abs/2406.02157 (2024) - 2023
- [j5]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) - [j4]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) - [j3]Ali Bereyhi
, Bruno Loureiro
, Florent Krzakala
, Ralf R. Müller
, Hermann Schulz-Baldes
:
Bayesian Inference With Nonlinear Generative Models: Comments on Secure Learning. IEEE Trans. Inf. Theory 69(12): 7998-8028 (2023) - [c20]Lucas Clarté, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
On double-descent in uncertainty quantification in overparametrized models. AISTATS 2023: 7089-7125 - [c19]Luca Arnaboldi, Ludovic Stephan, Florent Krzakala
, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. COLT 2023: 1199-1227 - [c18]Luca Pesce, Florent Krzakala
, Bruno Loureiro, Ludovic Stephan:
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. ICML 2023: 27680-27708 - [c17]Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro:
Deterministic equivalent and error universality of deep random features learning. ICML 2023: 30285-30320 - [c16]Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová:
Universality laws for Gaussian mixtures in generalized linear models. NeurIPS 2023 - [c15]Lucas Clarté, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Expectation consistency for calibration of neural networks. UAI 2023: 443-453 - [i24]Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro:
Deterministic equivalent and error universality of deep random features learning. CoRR abs/2302.00401 (2023) - [i23]Luca Arnaboldi
, Ludovic Stephan, Florent Krzakala
, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. CoRR abs/2302.05882 (2023) - [i22]Luca Pesce
, Florent Krzakala
, Bruno Loureiro, Ludovic Stephan:
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation. CoRR abs/2302.08923 (2023) - [i21]Lucas Clarté, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Expectation consistency for calibration of neural networks. CoRR abs/2303.02644 (2023) - [i20]Yatin Dandi, Florent Krzakala
, Bruno Loureiro, Luca Pesce
, Ludovic Stephan:
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR abs/2305.18270 (2023) - [i19]Luca Arnaboldi
, Florent Krzakala
, Bruno Loureiro, Ludovic Stephan:
Escaping mediocrity: how two-layer networks learn hard single-index models with SGD. CoRR abs/2305.18502 (2023) - [i18]Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro, Gabriele Sicuro:
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality. CoRR abs/2309.16476 (2023) - 2022
- [j2]José Pinto, Maria Costa, Renato Mendes
, Keila Lima
, Paulo Sousa Dias, João Pereira, Manuel A. Ribeiro, Renato Campos, Maria Paola Tomasino
, Catarina Magalhães
, Francisco López Castejón, Javier Gilabert
, Adriana M. Santos-Ferreira
, José C. B. da Silva, Paulo Relvas
, Trent Lukaczyk, Kay Arne Skarpnes, Emlyn J. Davies
, Alexander Chekalyuk
, Bruno Loureiro, Ian G. Brosnan
, Jing Li
, João Borges de Sousa
, Kanna Rajan
:
Coordinated Robotic Exploration of Dynamic Open Ocean Phenomena. Field Robotics 2(1): 843-871 (2022) - [c14]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 - [c13]Ali Bereyhi, Bruno Loureiro, Florent Krzakala
, Ralf R. Müller, Hermann Schulz-Baldes:
Secure Coding via Gaussian Random Fields. ISIT 2022: 1241-1246 - [c12]Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap. NeurIPS 2022 - [c11]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 - [i17]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) - [i16]Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR abs/2201.12655 (2022) - [i15]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) - [i14]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) - [i13]Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Theoretical characterization of uncertainty in high-dimensional linear classification. CoRR abs/2202.03295 (2022) - [i12]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) - [i11]Ali Bereyhi, Bruno Loureiro, Florent Krzakala
, Ralf R. Müller, Hermann Schulz-Baldes:
Secure Coding via Gaussian Random Fields. CoRR abs/2205.08782 (2022) - [i10]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) - [i9]Luca Pesce
, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap. CoRR abs/2205.13527 (2022) - [i8]Lucas Clarté, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
A study of uncertainty quantification in overparametrized high-dimensional models. CoRR abs/2210.12760 (2022) - 2021
- [j1]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) - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [i7]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) - [i6]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) - [i5]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) - 2020
- [c6]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 - [c5]José Pinto, Maria Costa, Keila Lima, Paulo Sousa Dias, João Pereira, Manuel A. Ribeiro, Renato Campos, Zara Mirmalek, Renato Mendes, Francisco López Castejón, Javier Gilabert
, Maria Paola Tomasino
, Catarina Magalhães
, José C. B. da Silva, Paulo Relvas, Trent Lukaczyk, Kay Arne Skarpnes, Martin Ludvigsen, Alexander Chekalyuk, Bruno Loureiro, Ian G. Brosnan
, Jing Li, Ami Hannon, João Borges de Sousa
, Kanna Rajan:
To Boldly Dive Where No One Has Gone Before: Experiments in Coordinated Robotic Ocean Exploration. ISER 2020: 472-487 - [c4]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 - [c3]Antoine Maillard, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS 2020 - [i4]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) - [i3]Antoine Maillard
, Bruno Loureiro
, Florent Krzakala, Lenka Zdeborová:
Phase retrieval in high dimensions: Statistical and computational phase transitions. CoRR abs/2006.05228 (2020)
2010 – 2019
- 2019
- [c2]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala
, Lenka Zdeborová:
The spiked matrix model with generative priors. NeurIPS 2019: 8364-8375 - [i2]Benjamin Aubin, Bruno Loureiro
, Antoine Maillard
, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. CoRR abs/1905.12385 (2019) - [i1]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) - 2017
- [c1]Giannis Kazdaridis, Stratos Keranidis, Polychronis Symeonidis, Paulo Sousa Dias
, Pedro Gonçalves, Bruno Loureiro, Petrika Gjanci, Chiara Petrioli:
EVERUN: Enabling Power Consumption Monitoring in Underwater Networking Platforms. WiNTECH 2017: 83-90
Coauthor Index
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last updated on 2024-09-04 00:28 CEST by the dblp team
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