Maria Refinetti

According to our database1, Maria Refinetti authored at least 10 papers between 2020 and 2023.

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Bibliography

2023
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization.
CoRR, 2023

Neural networks trained with SGD learn distributions of increasing complexity.
Proceedings of the International Conference on Machine Learning, 2023

2022
Optimal learning rate schedules in high-dimensional non-convex optimization problems.
CoRR, 2022

The dynamics of representation learning in shallow, non-linear autoencoders.
Proceedings of the International Conference on Machine Learning, 2022

Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension.
Proceedings of the International Conference on Machine Learning, 2022

2021
Align, then memorise: the dynamics of learning with feedback alignment.
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

2020
The dynamics of learning with feedback alignment.
CoRR, 2020

Epidemic mitigation by statistical inference from contact tracing data.
CoRR, 2020

Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime.
Proceedings of the 37th International Conference on Machine Learning, 2020


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