Marco Baity-Jesi

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Related publications (5)

A benchmark dataset for machine learning in ecotoxicology

Kristin Schirmer, Fernando Perez Cruz, Marco Baity-Jesi

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, ...

Nature Portfolio2023

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Mario Geiger, Matthieu Wyart, Stefano Spigler, Levent Dogus Sagun, Marco Baity-Jesi

Deep learning has been immensely successful at a variety of tasks, ranging from classification to artificial intelligence. Learning corresponds to fitting training data, which is implemented by descending a very high-dimensional loss function. Understandin ...

AMER PHYSICAL SOC2019

Comparing dynamics: deep neural networks versus glassy systems

Mario Geiger, Matthieu Wyart, Stefano Spigler, Levent Dogus Sagun, Marco Baity-Jesi

We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems. The two main issues we address are (1) the complexity of the loss landscape and of the dynamics within it, and ( ...

IOP PUBLISHING LTD2019

Maximum-energy records in glassy energy landscapes

Riccardo Ravasio, Marco Baity-Jesi

We study the evolution of the maximum energy E-max(t) reached between time 0 and time t in the dynamics of simple models with glassy energy landscapes, after an instant quench from infinite temperature to a target temperature T. Through a detailed descript ...

IOP PUBLISHING LTD2019

Comparing Dynamics: Deep Neural Networks versus Glassy Systems

Rainer Wesche, Mario Geiger, Stefano Spigler, Levent Dogus Sagun, Marco Baity-Jesi

We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems. The two main issues we address are the complexity of the loss-landscape and of the dynamics within it, and to wh ...

2018

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