Emanuele Troiani

According to our database, Emanuele Troiani authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

A solvable high-dimensional model where nonlinear autoencoders learn structure invisible to PCA while test loss misaligns with generalization.

Vicente Conde Mendes, Lorenzo Bardone, Cédric Koller, Jorge Medina Moreira, Vittorio Erba, Emanuele Troiani, Lenka Zdeborová

CoRR, February, 2026

2025

Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions.

Fabrizio Boncoraglio, Vittorio Erba, Emanuele Troiani, Florent Krzakala, Lenka Zdeborová

CoRR, September, 2025

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime.

Leonardo Defilippis, Yizhou Xu, Julius Girardin, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

CoRR, September, 2025

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks.

Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Florent Krzakala

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Bayes optimal learning of attention-indexed models.

Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds.

Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborová

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fundamental computational limits of weak learnability in high-dimensional multi-index models.

Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods.

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

SIAM J. Math. Data Sci., 2024

Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens.

Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová

CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Fundamental limits of weak learnability in high-dimensional multi-index models.

Emanuele Troiani, Yatin Dandi, Leonardo Defilippis, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala

CoRR, 2024

Bayes-optimal learning of an extensive-width neural network from quadratically many samples.

Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers.

Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala

Proceedings of the International Conference on Artificial Intelligence and Statistics, 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

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