Mattia Rigotti

59 papers A* 13B 1Misc 1Journal 40Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators.
CoRR
Mattia Rigotti, Nicholas Thumiger, Thomas Frick
2026 J jnl
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs.
CoRR
Niccolò Avogaro, Nayanika Debnath, Li Mi, Thomas Frick, Junling Wang, Zexue He, Hang Hua, Konrad Schindler, Mattia Rigotti
2025 J jnl
Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model for Microclimate Impact Prediction.
CoRR
Jannis Fleckenstein, David Kreismann, Tamara Govindasamy, Thomas Brunschwiler, Etienne Eben Vos, Mattia Rigotti
2025 J jnl
Eliciting Reasoning in Language Models with Cognitive Tools.
CoRR
Brown Ebouky, Andrea Bartezzaghi, Mattia Rigotti
2025 J jnl
Q-SAM2: Accurate Quantization for Segment Anything Model 2.
CoRR
Nicola Farronato, Florian Scheidegger, Mattia Rigotti, Cristiano Malossi, Michele Magno, Haotong Qin
2025 J jnl
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training.
CoRR
Youssef Mroueh, Nicolas Dupuis, Brian Belgodere, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross, Jesus Rios
2025 J jnl
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.
CoRR
Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, Cristiano Malossi, Konrad Schindler, Roy Assaf
2025 J jnl
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.
Trans. Mach. Learn. Res.
Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, A. Cristiano I. Malossi, Konrad Schindler, Roy Assaf
2025 B conf
Towards Reliable Conversational Data Analytics.
EDBT
Sihem Amer-Yahia, Jasmina Bogojeska, Roberta Facchinetti, Valeria Franceschi, Aristides Gionis, Katja Hose, Georgia Koutrika, Roger D. Kouyos, Matteo Lissandrini, Silviu Maniu, Katsiaryna Mirylenka, Davide Mottin, Themis Palpanas, Mattia Rigotti, Yannis Velegrakis
2025 J jnl
VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation.
CoRR
Niccolò Avogaro, Thomas Frick, Yagmur Gizem Cinar, Daniel Caraballo, Cezary Skura, Filip Janicki, Piotr Kluska, Brown Ebouky, Nicola Farronato, Florian Scheidegger, Cristiano Malossi, Konrad Schindler, Andrea Bartezzaghi, Roy Assaf, Mattia Rigotti
2024 J jnl
Adaptive Conformal Regression with Split-Jackknife+ Scores.
Trans. Mach. Learn. Res.
Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
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
2024 A* conf
Distributional Preference Alignment of LLMs via Optimal Transport.
NeurIPS
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jarret Ross
2024 J jnl
Distributional Preference Alignment of LLMs via Optimal Transport.
CoRR
Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross
2024 J jnl
MC Layer Normalization for calibrated uncertainty in Deep Learning.
Trans. Mach. Learn. Res.
Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti
2024 A* conf
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking.
NeurIPS
Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024 J jnl
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking.
CoRR
Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024 A* conf
On the generalization capacity of neural networks during generic multimodal reasoning.
ICLR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2024 J jnl
On the generalization capacity of neural networks during generic multimodal reasoning.
CoRR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2024 J jnl
Outline-Guided Object Inpainting with Diffusion Models.
CoRR
Markus Pobitzer, Filip Janicki, Mattia Rigotti, Cristiano Malossi
2024 A* conf
Probabilistic Feature Matching for Fast Scalable Visual Prompting.
IJCAI
Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti
2024 A* conf
Risk Aware Benchmarking of Large Language Models.
ICML
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross
2024 A* conf
Unraveling the Key Components of OOD Generalization via Diversification.
ICLR
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2023 J jnl
Adaptive Conformal Regression with Jackknife+ Rescaled Scores.
CoRR
Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
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
2023 — conf
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications.
ACL (1)
Adam Ivankay, Mattia Rigotti, Pascal Frossard
2023 J jnl
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications.
CoRR
Adam Ivankay, Mattia Rigotti, Pascal Frossard
2023 J jnl
Risk Assessment and Statistical Significance in the Age of Foundation Models.
CoRR
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross
2023 J jnl
Unraveling the Key Components of OOD Generalization via Diversification.
CoRR
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2022 — conf
Active Learning for Imbalanced Civil Infrastructure Data.
ECCV Workshops (7)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
2022 J jnl
Active Learning for Imbalanced Civil Infrastructure Data.
CoRR
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
2022 A* conf
Attention-based Interpretability with Concept Transformers.
ICLR
Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu, Thomas Gschwind, Paolo Scotton
2022 — conf
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
ECML/PKDD (6)
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
2022 J jnl
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
CoRR
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
2022 A* conf
Compositional generalization through abstract representations in human and artificial neural networks.
NeurIPS
Takuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti
2022 J jnl
Estimating the Adversarial Robustness of Attributions in Text with Transformers.
CoRR
Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2022 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
J. Artif. Intell. Res.
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2022 — conf
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures.
ECCV Workshops (7)
Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi
2022 J jnl
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures.
CoRR
Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi
2021 A* conf
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks.
NeurIPS
Rong Zhu, Mattia Rigotti
2021 J jnl
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks.
CoRR
Mattia Rigotti, Rong Zhu
2021 A* conf
Self-correcting Q-learning.
AAAI
Rong Zhu, Mattia Rigotti
2021 Misc conf
Tabular Transformers for Modeling Multivariate Time Series.
ICASSP
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020 J jnl
Alleviating Noisy Data in Image Captioning with Cooperative Distillation.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
2020 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020 J jnl
Self-correcting Q-Learning.
CoRR
Rong Zhu, Mattia Rigotti
2020 J jnl
Tabular Transformers for Modeling Multivariate Time Series.
CoRR
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020 A* conf
Unbalanced Sobolev Descent.
NeurIPS
Youssef Mroueh, Mattia Rigotti
2020 J jnl
Unbalanced Sobolev Descent.
CoRR
Youssef Mroueh, Mattia Rigotti
2019 A* conf
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables.
ICML
Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2019 A* conf
Sobolev Independence Criterion.
NeurIPS
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2019 J jnl
Sobolev Independence Criterion.
CoRR
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2018 J jnl
Efficient ConvNets for Analog Arrays.
CoRR
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch
2016 J jnl
Energy-Efficient Neuromorphic Classifiers.
Neural Comput.
Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi
2015 J jnl
Energy-efficient neuromorphic classifiers.
CoRR
Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi
2013 J jnl
The importance of mixed selectivity in complex cognitive tasks.
Nat.
Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
2011 J jnl
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition.
Neural Comput.
Omri Barak, Mattia Rigotti
2010 J jnl
Attractor concretion as a mechanism for the formation of context representations.
NeuroImage
Mattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi
2010 J jnl
Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses.
Frontiers Comput. Neurosci.
Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi