Emanuele Troiani

According to our database, Emanuele Troiani authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.

Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala

CoRR, 2024

2023

Sparse Representations, Inference and Learning.

Clarissa Lauditi, Emanuele Troiani, Marc Mézard

CoRR, 2023

Gibbs Sampling the Posterior of Neural Networks.

Giovanni Piccioli, Emanuele Troiani, Lenka Zdeborová

CoRR, 2023

Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers.

Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

CoRR, 2023

2022

Rigorous dynamical mean field theory for stochastic gradient descent methods.

Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová

CoRR, 2022

Optimal denoising of rotationally invariant rectangular matrices.

Emanuele Troiani, Vittorio Erba, Florent Krzakala, Antoine Maillard, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2020

The Look-and-Say The Biggest Sequence Eventually Cycles.

Éric Brier, Rémi Géraud-Stewart, David Naccache, Alessandro Pacco, Emanuele Troiani

CoRR, 2020

Stuttering Conway Sequences Are Still Conway Sequences.

Éric Brier, Rémi Géraud-Stewart, David Naccache, Alessandro Pacco, Emanuele Troiani

CoRR, 2020