Mattia Rigotti

According to our database, Mattia Rigotti authored at least 27 papers between 2010 and 2024.

Collaborative distances:

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

2024

Outline-Guided Object Inpainting with Diffusion Models.

Markus Pobitzer, Filip Janicki, Mattia Rigotti, Cristiano Malossi

CoRR, 2024

On the generalization capacity of neural networks during generic multimodal reasoning.

Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell

CoRR, 2024

2023

Unraveling the Key Components of OOD Generalization via Diversification.

Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir

CoRR, 2023

Risk Assessment and Statistical Significance in the Age of Foundation Models.

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross

CoRR, 2023

Adaptive Conformal Regression with Jackknife+ Rescaled Scores.

Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez

CoRR, 2023

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.

Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications.

Adam Ivankay, Mattia Rigotti, Pascal Frossard

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

J. Artif. Intell. Res., 2022

Estimating the Adversarial Robustness of Attributions in Text with Transformers.

Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard

CoRR, 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.

Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Compositional generalization through abstract representations in human and artificial neural networks.

Takuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Attention-based Interpretability with Concept Transformers.

Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu, Thomas Gschwind, Paolo Scotton

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures.

Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Active Learning for Imbalanced Civil Infrastructure Data.

Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks.

Rong Zhu, Mattia Rigotti

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tabular Transformers for Modeling Multivariate Time Series.

Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman

Proceedings of the IEEE International Conference on Acoustics, 2021

Self-correcting Q-learning.

Rong Zhu, Mattia Rigotti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff

CoRR, 2020

Unbalanced Sobolev Descent.

Youssef Mroueh, Mattia Rigotti

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Sobolev Independence Criterion.

Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables.

Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Efficient ConvNets for Analog Arrays.

Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch

CoRR, 2018

2016

Energy-Efficient Neuromorphic Classifiers.

Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi

Neural Comput., 2016

2013

The importance of mixed selectivity in complex cognitive tasks.

Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi

Nat., 2013

2011

A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition.

Omri Barak, Mattia Rigotti

Neural Comput., 2011

2010

Attractor concretion as a mechanism for the formation of context representations.

Mattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi

NeuroImage, 2010

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses.

Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi

Frontiers Comput. Neurosci., 2010