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1.	Multi-layer state evolution under random convolutional design Daniels, Max ; Gerbelot, Cedric ; Krzakala, Florent ; Zdeborova, Lenka Journal Of Statistical Mechanics-Theory And Experiment, 2023 (11), 114002 (2023) 01 November 2023 \| Journal Articles \| Detailed record - Similar records
2.	PDF PhysRevX.13.031021 Backtracking Dynamical Cavity Method Behrens, Freya ; Hudcová, Barbora ; Zdeborová, Lenka Physical Review X, 13 (3) (2023) 21 August 2023 \| Journal Articles \| Detailed record - Similar records
3.	PDF Cui_2023_Mach._Learn. _Sci._Technol._4_035033 Error scaling laws for kernel classification under source and capacity conditions Cui, Hugo Chao ; Loureiro, Bruno ; Krzakala, Florent ; Zdeborová, Lenka IOPscience (Mach. Learn.: Sci. Technol. 4 035033) (2023) 2023 \| Journal Articles \| Detailed record - Similar records
4.	PDF NeurIPS-2022-multi-layer-state-evolution-under-random-convolutional-design-Paper-Conference Multi-layer State Evolution Under Random Convolutional Design Daniels, Max ; Gerbelot, Cédric ; Krzakala, Florent ; Zdeborová, Lenka NeurIPS Proceedings (2022) 2022 \| Journal Articles \| Detailed record - Similar records
5.	PDF NeurIPS-2022-subspace-clustering-in-high-dimensions-phase-transitions-statistical-to-computational-gap-Paper-Conference Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap Pesce, Luca ; Loureiro, Bruno ; Krzakala, Florent ; Zdeborová, Lenka 2022 \| Conference Papers \| Detailed record - Similar records
6.	PDF NeurIPS-2022-phase-diagram-of-stochastic-gradient-descent-in-high-dimensional-two-layer-neural-networks-Paper-Conference Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Veiga, Rodrigo ; Stephan, Ludovic ; Loureiro, Bruno ; Krzakala, Florent[...] 2022 \| Conference Papers \| Detailed record - Similar records
7.	PDF cui23b Bayes-optimal Learning of Deep Random Networks of Extensive-width Cui, Hugo Chao ; Krzakala, Florent ; Zdeborová, Lenka Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023, 202 (2023) 2023 \| Conference Papers \| Detailed record - Similar records
8.	Multiple Files clarte23a Expectation consistency for calibration of neural networks Clarte, Lucas Andry ; Loureiro, Bruno ; Krzakala, Florent ; Zdeborová, Lenka Uncertainty in Artificial Intelligence, 216 (2023) 2023 \| Conference Papers \| Detailed record - Similar records
9.	PDF troiani22a Optimal denoising of rotationally invariant rectangular matrices Troiani, Emanuele ; Erba, Vittorio ; Krzakala, Florent ; Maillard, Antoine[...] Proceedings of Mathematical and Scientific Machine Learning, 190, 97-112 (2022) 2022 \| Journal Articles \| Detailed record - Similar records
10.	PDF Duranthon_2023_Mach._Learn. _Sci._Technol._4_035017 Neural-prior stochastic block model Duranthon, Odilon ; Zdeborová, Lenka Machine Learning-Science And Technology, 4 (3), 035017 (2023) 01 September 2023 \| Journal Articles \| Detailed record - Similar records

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