Goldt, Sebastian

19 publications

TMLR 2025 Exploring the Potential of Direct Feedback Alignment for Continual Learning Sara Folchini, Viplove Arora, Sebastian Goldt

ICML 2025 Feature Learning from Non-Gaussian Inputs: The Case of Independent Component Analysis in High Dimensions Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt

CPAL 2025 How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks William T Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt

NeurIPS 2024 A Distributional Simplicity Bias in the Learning Dynamics of Transformers Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt

NeurIPS 2024 Learning from Higher-Order Correlations, Efficiently: Hypothesis Tests, Random Features, and Neural Networks Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt

ICML 2024 Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks Lorenzo Bardone, Sebastian Goldt

NeurIPS 2023 Attacks on Online Learners: A Teacher-Student Analysis Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti

ICML 2023 Neural Networks Trained with SGD Learn Distributions of Increasing Complexity Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt

UAI 2023 Quantifying Lottery Tickets Under Label Noise: Accuracy, Calibration, and Complexity Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti

ICLRW 2023 The Rl Perceptron: Dynamics of Policy Learning in High Dimensions Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli, Sebastian Goldt, Andrew M Saxe

NeurIPSW 2022 Data-Driven Emergence of Convolutional Structure in Neural Networks Alessandro Ingrosso, Sebastian Goldt

ICML 2022 Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew Saxe

NeurIPS 2022 Redundant Representations Help Generalization in Wide Neural Networks Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio

ICML 2022 The Dynamics of Representation Learning in Shallow, Non-Linear Autoencoders Maria Refinetti, Sebastian Goldt

ICML 2021 Align, Then Memorise: The Dynamics of Learning with Feedback Alignment Maria Refinetti, Stéphane D’Ascoli, Ruben Ohana, Sebastian Goldt

ICML 2021 Classifying High-Dimensional Gaussian Mixtures: Where Kernel Methods Fail and Neural Networks Succeed Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborova

ICML 2021 Continual Learning in the Teacher-Student Setup: Impact of Task Similarity Sebastian Lee, Sebastian Goldt, Andrew Saxe

NeurIPS 2021 Learning Curves of Generic Features Maps for Realistic Datasets with a Teacher-Student Model Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka Zdeborová

NeurIPS 2019 Dynamics of Stochastic Gradient Descent for Two-Layer Neural Networks in the Teacher-Student Setup Sebastian Goldt, Madhu Advani, Andrew M Saxe, Florent Krzakala, Lenka Zdeborová