Sebastian Goldt

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Venues

University of Stuttgart, Germany (PHD)

Education History

University of Stuttgart, Germany

PHD

Publications

Lorenzo Bardone, Sebastian Goldt
Sliding down the stairs: how correlated latent variables accelerate learning with neural networks. CoRR (2024)
Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. CoRR (2023)
Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli, Sebastian Goldt, Adrew Saxe
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions. CoRR (2023)
Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. UAI (2023)
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)
Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti
Attacks on Online Learners: a Teacher-Student Analysis. CoRR (2023)
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
Neural networks trained with SGD learn distributions of increasing complexity. ICML (2023)
Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks. CoRR (2023)
Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti
Attacks on Online Learners: a Teacher-Student Analysis. NeurIPS (2023)
Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
Optimal inference of a generalised Potts model by single-layer transformers with factored attention. CoRR (2023)
Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
Redundant representations help generalization in wide neural networks. NeurIPS (2022)
Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew M. Saxe
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation. CoRR (2022)
Alireza Seif, Sarah A. M. Loos, Gennaro Tucci, Édgar Roldán, Sebastian Goldt
The impact of memory on learning sequence-to-sequence tasks. CoRR (2022)
Maria Refinetti, Sebastian Goldt
The dynamics of representation learning in shallow, non-linear autoencoders. ICML (2022)
Maria Refinetti, Sebastian Goldt
The dynamics of representation learning in shallow, non-linear autoencoders. CoRR (2022)
Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew M. Saxe
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation. ICML (2022)
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
Neural networks trained with SGD learn distributions of increasing complexity. CoRR (2022)
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)
Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. CoRR (2021)
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt
Align, then memorise: the dynamics of learning with feedback alignment. ICML (2021)
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)
Sebastian Lee, Sebastian Goldt, Andrew M. Saxe
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity. CoRR (2021)
Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. ICML (2021)
Sebastian Lee, Sebastian Goldt, Andrew M. Saxe
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity. ICML (2021)
Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
Representation mitosis in wide neural networks. CoRR (2021)
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 (2021)
Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR (2020)
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt
The dynamics of learning with feedback alignment. CoRR (2020)
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)
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 (2019)
Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
Generalisation dynamics of online learning in over-parameterised neural networks. CoRR (2019)
Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová
Modelling the influence of data structure on learning in neural networks. CoRR (2019)

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Publication Activity (10 Years)

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Sebastian Goldt