Curriculum Dropout. - Pietro Morerio; Jacopo Cavazza; Riccardo Volpi; René Vidal; Vittorio Murino (ICCV, 2017)

Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. - Matteo Zanotto; Riccardo Volpi; Alessandro Maccione; Luca Berdondini; Diego Sona; Vittorio Murino (CoRR, 2017)

Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. - Sathish Kottravel; Riccardo Volpi; Mathieu Linares; Timo Ropinski; Ingrid Hotz (Informatics, 2017)

Study of the cold charge transfer state separation at the TQ1/PC71BM interface. - Riccardo Volpi; Mathieu Linares (J. Comput. Chem., 2017)

Adversarial Feature Augmentation for Unsupervised Domain Adaptation. - Riccardo Volpi; Pietro Morerio; Silvio Savarese; Vittorio Murino (CVPR, 2018)

Generalizing to Unseen Domains via Adversarial Data Augmentation. - Riccardo Volpi; Hongseok Namkoong; Ozan Sener; John C. Duchi; Vittorio Murino; Silvio Savarese (NeurIPS, 2018)

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. - Septimia Sârbu; Riccardo Volpi; Alexandra Peste; Luigi Malagò (CoRR, 2018)

Model Vulnerability to Distributional Shifts over Image Transformation Sets. - Riccardo Volpi; Vittorio Murino (CVPR Workshops, 2019)

Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. - Riccardo Volpi; Vittorio Murino (ICCV, 2019)

Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. - Héctor J. Hortúa; Riccardo Volpi; Dimitri Marinelli; Luigi Malagò (CoRR, 2019)

Natural Alpha Embeddings. - Riccardo Volpi; Luigi Malagò (CoRR, 2019)

Regularization, Adaptation and Generalization of Neural Networks. - Riccardo Volpi (2019)

Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. - Petru Hlihor; Riccardo Volpi; Luigi Malagò (NLDL, 2020)

Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. - Riccardo Volpi; Luigi Malagò (RepL4NLP@ACL, 2020)

Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. - Pietro Morerio; Riccardo Volpi; Ruggero Ragonesi; Vittorio Murino (WACV, 2020)

Parameters Estimation from the 21 cm signal using Variational Inference. - Héctor J. Hortúa; Riccardo Volpi; Luigi Malagò (CoRR, 2020)

Natural Wake-Sleep Algorithm. - Csongor Várady; Riccardo Volpi; Luigi Malagò; Nihat Ay (CoRR, 2020)

Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. - Héctor J. Hortúa; Luigi Malagò; Riccardo Volpi (CoRR, 2020)

Accelerating MCMC algorithms through Bayesian Deep Networks. - Héctor J. Hortúa; Riccardo Volpi; Dimitri Marinelli; Luigi Malagò (CoRR, 2020)

Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach. - Andrea Zunino; Jacopo Cavazza; Riccardo Volpi; Pietro Morerio; Andrea Cavallo; Cristina Becchio; Vittorio Murino (Int. J. Comput. Vis., 2020)

Constraining the Reionization History using Bayesian Normalizing Flows. - Héctor J. Hortúa; Luigi Malagò; Riccardo Volpi (Mach. Learn. Sci. Technol., 2020)

Learning Unbiased Representations via Mutual Information Backpropagation. - Ruggero Ragonesi; Riccardo Volpi; Jacopo Cavazza; Vittorio Murino (CVPR Workshops, 2021)

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. - Riccardo Volpi; Diane Larlus; Grégory Rogez (CVPR, 2021)

Explainable Deep Classification Models for Domain Generalization. - Andrea Zunino; Sarah Adel Bargal; Riccardo Volpi; Mehrnoosh Sameki; Jianming Zhang 001; Stan Sclaroff; Vittorio Murino; Kate Saenko (CVPR Workshops, 2021)

Automatic Feature Extraction for Heartbeat Anomaly Detection. - Robert-George Colt; Csongor-Huba Várady; Riccardo Volpi; Luigi Malagò (CoRR, 2021)

Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey. - Gabriela Csurka; Riccardo Volpi; Boris Chidlovskii (CoRR, 2021)

Changing the Geometry of Representations: α-Embeddings for NLP Tasks. - Riccardo Volpi; Uddhipan Thakur; Luigi Malagò (Entropy, 2021)

On the Road to Online Adaptation for Semantic Image Segmentation. - Riccardo Volpi; Pau de Jorge; Diane Larlus; Gabriela Csurka (CVPR, 2022)

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. - Pau de Jorge Aranda; Adel Bibi; Riccardo Volpi; Amartya Sanyal; Philip H. S. Torr; Grégory Rogez; Puneet K. Dokania (NeurIPS, 2022)

Semantic Image Segmentation: Two Decades of Research. - Gabriela Csurka; Riccardo Volpi; Boris Chidlovskii (Found. Trends Comput. Graph. Vis., 2022)

Natural Reweighted Wake-Sleep. - Csongor Várady; Riccardo Volpi; Luigi Malagò; Nihat Ay (Neural Networks, 2022)

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. - Subhankar Roy; Riccardo Volpi; Gabriela Csurka; Diane Larlus (CoLLAs, 2023)

Reliability in Semantic Segmentation: Are we on the Right Track? - Pau de Jorge; Riccardo Volpi; Philip H. S. Torr; Grégory Rogez (CVPR, 2023)

PANDAS: Prototype-based Novel Class Discovery and Detection. - Tyler L. Hayes; César Roberto de Souza; Namil Kim; Jiwon Kim; Riccardo Volpi; Diane Larlus (CoLLAs, 2024)

SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. - Mingxuan Liu; Tyler L. Hayes; Elisa Ricci 001; Gabriela Csurka; Riccardo Volpi (CVPR, 2024)

What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. - Gabriela Csurka; Tyler L. Hayes; Diane Larlus; Riccardo Volpi (ECCV Workshops (21), 2024)

Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. - Pau de Jorge; Riccardo Volpi; Puneet K. Dokania; Philip H. S. Torr; Grégory Rogez (ECCV (45), 2024)

Coreset Based Medical Image Anomaly Detection and Segmentation. - Ciprian-Mihai Ceausescu; Bogdan Alexe; Riccardo Volpi (VISIGRAPP (4): VISAPP, 2024)

Test-time Vocabulary Adaptation for Language-driven Object Detection. - Mingxuan Liu; Tyler L. Hayes; Massimiliano Mancini; Elisa Ricci 001; Riccardo Volpi; Gabriela Csurka (CoRR, 2025)