Mattia Rigotti

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Diffusion Model

Visual Inspection

Top Venues

ECCV Workshops (7)

Publications

Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. CoRR (2024)
Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. CoRR (2024)
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR (2024)
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross
Distributional Preference Alignment of LLMs via Optimal Transport. CoRR (2024)
Markus Pobitzer, Filip Janicki, Mattia Rigotti, Cristiano Malossi
Outline-Guided Object Inpainting with Diffusion Models. CoRR (2024)
Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. ICLR (2024)
Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez
Adaptive Conformal Regression with Split-Jackknife+ Scores. Trans. Mach. Learn. Res. 2024 (2024)
Adam Ivankay, Mattia Rigotti, Pascal Frossard
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. CoRR (2023)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. CoRR (2023)
Adam Ivankay, Mattia Rigotti, Pascal Frossard
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. ACL (1) (2023)
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR (2023)
Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez
Adaptive Conformal Regression with Jackknife+ Rescaled Scores. CoRR (2023)
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross
Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR (2023)
Takuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti
Compositional generalization through abstract representations in human and artificial neural networks. NeurIPS (2022)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) (2022)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
Active Learning for Imbalanced Civil Infrastructure Data. CoRR (2022)
Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu, Thomas Gschwind, Paolo Scotton
Attention-based Interpretability with Concept Transformers. ICLR (2022)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73 (2022)
Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard
Estimating the Adversarial Robustness of Attributions in Text with Transformers. CoRR (2022)
Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. ECCV Workshops (7) (2022)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR (2022)
Klára Janouskova, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. CoRR (2022)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) (2022)
Mattia Rigotti, Rong Zhu
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks. CoRR (2021)
Rong Zhu, Mattia Rigotti
Self-correcting Q-learning. AAAI (2021)
Rong Zhu, Mattia Rigotti
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks. NeurIPS (2021)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. ICASSP (2021)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR (2020)
Youssef Mroueh, Mattia Rigotti
Unbalanced Sobolev Descent. NeurIPS (2020)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. CoRR (2020)
Youssef Mroueh, Mattia Rigotti
Unbalanced Sobolev Descent. CoRR (2020)
Rong Zhu, Mattia Rigotti
Self-correcting Q-Learning. CoRR (2020)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR (2020)
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
Sobolev Independence Criterion. CoRR (2019)
Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML (2019)
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
Sobolev Independence Criterion. NeurIPS (2019)
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch
Efficient ConvNets for Analog Arrays. CoRR (2018)
Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi
Energy-Efficient Neuromorphic Classifiers. Neural Comput. 28 (10) (2016)
Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi
Energy-efficient neuromorphic classifiers. CoRR (2015)
Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
The importance of mixed selectivity in complex cognitive tasks. Nat. 497 (7451) (2013)
Omri Barak, Mattia Rigotti
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition. Neural Comput. 23 (8) (2011)
Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi
Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses. Frontiers Comput. Neurosci. 4 (2010)
Mattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi
Attractor concretion as a mechanism for the formation of context representations. NeuroImage 52 (3) (2010)