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06/28/2023
Sparse Representations, Inference and Learning
In recent years statistical physics has proven to be a valuable tool to ...
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06/05/2023
Gibbs Sampling the Posterior of Neural Networks
In this paper, we study sampling from a posterior derived from a neural ...
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05/30/2023
Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers
We study robust linear regression in high-dimension, when both the dimen...
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10/12/2022
Rigorous dynamical mean field theory for stochastic gradient descent methods
We prove closed-form equations for the exact high-dimensional asymptotic...
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03/15/2022
