Sebastian Goldt
Orcid: 0000-0002-5799-7644
According to our database1,
Sebastian Goldt
authored at least 24 papers
between 2018 and 2023.
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Bibliography
2023
Bayesian reconstruction of memories stored in neural networks from their connectivity.
PLoS Comput. Biol., January, 2023
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks.
CoRR, 2023
CoRR, 2023
Optimal inference of a generalised Potts model by single-layer transformers with factored attention.
CoRR, 2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model.
CoRR, 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The Gaussian equivalence of generative models for learning with shallow neural networks.
Proceedings of the Mathematical and Scientific Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
The Gaussian equivalence of generative models for learning with two-layer neural networks.
CoRR, 2020
2019
CoRR, 2019
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018