Stuttering Conway Sequences Are Still Conway Sequences. - Éric Brier; Rémi Géraud-Stewart; David Naccache; Alessandro Pacco; Emanuele Troiani (CoRR, 2020)

The Look-and-Say The Biggest Sequence Eventually Cycles. - Éric Brier; Rémi Géraud-Stewart; David Naccache; Alessandro Pacco; Emanuele Troiani (CoRR, 2020)

Optimal denoising of rotationally invariant rectangular matrices. - Emanuele Troiani; Vittorio Erba; Florent Krzakala; Antoine Maillard; Lenka Zdeborová (MSML, 2022)

Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers. - Matteo Vilucchio; Emanuele Troiani; Vittorio Erba; Florent Krzakala (CoRR, 2023)

Gibbs Sampling the Posterior of Neural Networks. - Giovanni Piccioli; Emanuele Troiani; Lenka Zdeborová (CoRR, 2023)

Sparse Representations, Inference and Learning. - Clarissa Lauditi; Emanuele Troiani; Marc Mézard (CoRR, 2023)

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers. - Matteo Vilucchio; Emanuele Troiani; Vittorio Erba; Florent Krzakala (AISTATS, 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 002; Luca Pesce; Lenka Zdeborová; Florent Krzakala (ICML, 2024)

Bayes-optimal learning of an extensive-width neural network from quadratically many samples. - Antoine Maillard; Emanuele Troiani; Simon Martin 008; Florent Krzakala; Lenka Zdeborová (NeurIPS, 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)

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; et al. (CoRR, 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)

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)

Fundamental computational limits of weak learnability in high-dimensional multi-index models. - Emanuele Troiani; Yatin Dandi; Leonardo Defilippis; Lenka Zdeborová; Bruno Loureiro; Florent Krzakala (AISTATS, 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 (CoRR, 2025)

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks. - Vittorio Erba; Emanuele Troiani; Lenka Zdeborová; Florent Krzakala (CoRR, 2025)

Bayes optimal learning of attention-indexed models. - Fabrizio Boncoraglio; Emanuele Troiani; Vittorio Erba; Lenka Zdeborová (CoRR, 2025)