Enrico Ventura

According to our database, Enrico Ventura authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models.

Flavio Nicoletti, Chenxiao Ma, Enrico Ventura, Luca Saglietti, Stefano Sarao Mannelli

CoRR, May, 2026

Emergence of Distortions in High-Dimensional Guided Diffusion Models.

Enrico Ventura, Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello

CoRR, February, 2026

2025

Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion.

Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Unlearning regularization for Boltzmann machines.

Enrico Ventura, Simona Cocco, Rémi Monasson, Francesco Zamponi

Mach. Learn. Sci. Technol., 2024

Losing dimensions: Geometric memorization in generative diffusion.

Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni

CoRR, 2024

Learning and Unlearning: Bridging classification, memory and generative modeling in Recurrent Neural Networks.

Enrico Ventura

Proceedings of the IEEE Workshop on Complexity in Engineering, 2024

2023

Demolition and Reinforcement of memories in Spin Glass-like Neural Networks. (Démolition et renforcement des états de mémoire dans Modèles de réseaux de neurones de type Spin Glass).

Enrico Ventura

PhD thesis, 2023

Training neural networks with structured noise improves classification and generalization.

Marco Benedetti, Enrico Ventura

CoRR, 2023