Sebastian Goldt

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Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Lenka ZdeborováEPFL, SwitzerlandVerified email at epfl.ch
Marc MezardBocconi University MilanoVerified email at unibocconi.it
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
Riccardo RendePhD Student @ SISSAVerified email at sissa.it
Maria RefinettiEcole Normale Supérieure de ParisVerified email at ens.fr
Bruno LoureiroÉcole Normale Supérieure & CNRSVerified email at di.ens.fr
Udo SeifertProfessor of Theoretical Physics, University of StuttgartVerified email at theo2.physik.uni-stuttgart.de
Federico BeccaUniversity of TriesteVerified email at units.it
Sebastian LeeFlatiron InstituteVerified email at flatironinstitute.org
Luciano Loris ViterittiPhD Student @ University of TriesteVerified email at phd.units.it
Hugo CuiPostdoctoral fellow, Harvard CMSAVerified email at fas.harvard.edu
Madhu AdvaniHarvard UniversityVerified email at fas.harvard.edu
Alessandro LaioSISSAVerified email at sissa.it
Lorenzo BardonePhd student, International School of Advanced Studies (SISSA), Trieste, ItalyVerified email at sissa.it
Galen ReevesDuke UniversityVerified email at duke.edu
Alessandro IngrossoAssistant Professor, Radboud UniversityVerified email at donders.ru.nl
Federica GeraceScuola Internazionale Superiore di Studi Avanzati - SISSAVerified email at sissa.it
Jaco FuchsETH ZürichVerified email at phys.ethz.ch
Stefano SARAO MANNELLIAssistant Professor, DSAI CSE, Chalmers University of Technology and Gothenburg UniversityVerified email at chalmers.se

Sebastian Goldt

International School of Advanced Studies (SISSA), Trieste, Italy

Verified email at sissa.it - Homepage

Theory of Neural Networks Machine Learning Computational Neuroscience Stochastic Thermodynamics


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Modelling the influence of data structure on learning in neural networks: the hidden manifold model S Goldt, M Mézard, F Krzakala, L Zdeborová Physical Review X 10 (4), 041044, 2019	232*	2019
Learning curves of generic features maps for realistic datasets with a teacher-student model B Loureiro, C Gerbelot, H Cui, S Goldt, F Krzakala, M Mezard, ... Advances in Neural Information Processing Systems 34, 18137-18151, 2021	186*	2021
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup S Goldt, MS Advani, AM Saxe, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems 32, 6979--6989, 2019	167	2019
The gaussian equivalence of generative models for learning with shallow neural networks S Goldt, B Loureiro, G Reeves, F Krzakala, M Mézard, L Zdeborová Mathematical and Scientific Machine Learning, 426-471, 2022	146*	2022
Stochastic thermodynamics of resetting J Fuchs, S Goldt, U Seifert EPL (Europhysics Letters) 113 (6), 60009, 2016	139	2016
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed M Refinetti, S Goldt, F Krzakala, L Zdeborová International Conference on Machine Learning, 8936-8947, 2021	91	2021
Continual learning in the teacher-student setup: Impact of task similarity S Lee, S Goldt, A Saxe International Conference on Machine Learning, 6109-6119, 2021	73	2021
Stochastic thermodynamics of learning S Goldt, U Seifert Physical review letters 118 (1), 010601, 2017	68	2017
Align, then memorise: the dynamics of learning with feedback alignment M Refinetti, S d’Ascoli, R Ohana, S Goldt International Conference on Machine Learning, 8925-8935, 2021	53	2021
Data-driven emergence of convolutional structure in neural networks A Ingrosso, S Goldt Proceedings of the National Academy of Sciences 119 (40), e2201854119, 2022	40	2022
Neural networks trained with SGD learn distributions of increasing complexity M Refinetti, A Ingrosso, S Goldt International Conference on Machine Learning, 28843-28863, 2023	36	2023
A simple linear algebra identity to optimize large-scale neural network quantum states R Rende, LL Viteritti, L Bardone, F Becca, S Goldt Communications Physics 7 (1), 260, 2024	32*	2024
Perspectives on adaptive dynamical systems J Sawicki, R Berner, SAM Loos, M Anvari, R Bader, W Barfuss, N Botta, ... Chaos 33, 071501, 2023	27	2023
Mapping of attention mechanisms to a generalized Potts model R Rende, F Gerace, A Laio, S Goldt Physical Review Research 6 (2), 023057, 2024	19*	2024
Zinc finger proteins and the 3D organization of chromosomes CJ Feinauer, A Hofmann, S Goldt, L Liu, G Mate, DW Heermann Advances in protein chemistry and structural biology 90, 67-117, 2013	19	2013
Transformer wave function for the shastry-sutherland model: emergence of a spin-liquid phase LL Viteritti, R Rende, A Parola, S Goldt, F Becca arXiv preprint arXiv:2311.16889, 2023	17	2023
Thermodynamic efficiency of learning a rule in neural networks S Goldt, U Seifert New Journal of Physics 19 (11), 113001, 2017	16	2017
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation S Lee, SS Mannelli, C Clopath, S Goldt, A Saxe International Conference on Machine Learning, PMLR 162:12455-12477, 2022	15	2022
The dynamics of representation learning in shallow, non-linear autoencoders M Refinetti, S Goldt International Conference on Machine Learning 18499-18519, 2022	15	2022
Generalisation dynamics of online learning in over-parameterised neural networks S Goldt, MS Advani, AM Saxe, F Krzakala, L Zdeborová ICML 2019 Workshop on Theoretical Physics for Deep Learning, 2019	13	2019

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