Mattia J. Villani

According to our database, Mattia J. Villani authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models.

Mattia J. Villani, Pranav Deshpande, Akshay Seshadri, Romina Yalovetzky, Niraj Kumar

CoRR, May, 2026

2025

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning.

Javier Lopez-Piqueres, Pranav Deshpande, Archan Ray, Mattia J. Villani, Marco Pistoia, Niraj Kumar

CoRR, June, 2025

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values.

Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar

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

Trading-off Accuracy and Communication Cost in Federated Learning.

Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Any ReLU Network Is Shallow.

Mattia Jacopo Villani, Nandi Schoots

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks.

Nandi Schoots, Mattia Jacopo Villani, Niels uit de Bos

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

2024

PICE: Polyhedral Complex Informed Counterfactual Explanations.

Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Any Deep ReLU Network is Shallow.

Mattia Jacopo Villani, Nandi Schoots

CoRR, 2023

Unwrapping All ReLU Networks.

Mattia Jacopo Villani, Peter McBurney

CoRR, 2023

2022

Feature Importance for Time Series Data: Improving KernelSHAP.

Mattia Jacopo Villani, Joshua Lockhart, Daniele Magazzeni

CoRR, 2022