Sebastian Goldt
15 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29)
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Keyword Champion
(2)
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Century Club · Bronze
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Unstoppable · Bronze
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(66)
Venues
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Research topics
Machine Learning
(15)
Optimization & Theory · Machine Learning
(13)
Deep Learning
(11)
Architectures
(8)
Core Methods
(8)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Mathematics
(1)
Keywords
neural network
(6)
stochastic gradient descent
(5)
sample complexity
(3)
simplicity bia
(2)
catastrophic forgetting
(2)
feature learning
(2)
continual learning
(2)
task similarity
(2)
neural network optimization
(2)
teacher-student setup
(2)
generalization error
(2)
representation learning
(2)
higher-order cumulant
(2)
teacher-student model
(2)
knowledge transfer
(1)
self-supervised learning
(1)
natural language processing
(1)
independent component analysis
(1)
transfer learning
(1)
online learning
(1)
Papers
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
ICML 2025
A distributional simplicity bias in the learning dynamics of transformers
NeurIPS 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
NeurIPS 2024
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
ICML 2024
Attacks on Online Learners: a Teacher-Student Analysis
NeurIPS 2023
Neural networks trained with SGD learn distributions of increasing complexity
ICML 2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
UAI 2023
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
ICML 2022
Redundant representations help generalization in wide neural networks
NeurIPS 2022
The dynamics of representation learning in shallow, non-linear autoencoders
ICML 2022
Align, then memorise: the dynamics of learning with feedback alignment
ICML 2021
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
ICML 2021
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
ICML 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model
NeurIPS 2021
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
NeurIPS 2019