18 citations · 24 across the 7 of their papers we have counts for
15 papers
On the Road to Online Adaptation for Semantic Image Segmentation
Riccardo Volpi, Pau de Jorge, Diane Larlus +1
We propose a new problem formulation and a corresponding evaluation framework to advance research on unsupervised domain adaptation for semantic image segmentation. The overall goa…
Automatic Feature Extraction for Heartbeat Anomaly Detection
Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi +1
We focus on automatic feature extraction for raw audio heartbeat sounds, aimed at anomaly detection applications in healthcare. We learn features with the help of an autoencoder co…
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi, Diane Larlus, Grégory Rogez
Most standard learning approaches lead to fragile models which are prone to drift when sequentially trained on samples of a different nature - the well-known "catastrophic forgetti…
Accelerating MCMC algorithms through Bayesian Deep Networks
Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli +1
Markov Chain Monte Carlo (MCMC) algorithms are commonly used for their versatility in sampling from complicated probability distributions. However, as the dimension of the distribu…
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences
Hector J. Hortua, Luigi Malago, Riccardo Volpi
Bayesian Neural Networks (BNNs) often result uncalibrated after training, usually tending towards overconfidence. Devising effective calibration methods with low impact in terms of…
Constraining the Reionization History using Bayesian Normalizing Flows
Héctor J. Hortúa, Luigi Malago, Riccardo Volpi
The next generation 21 cm surveys open a new window onto the early stages of cosmic structure formation and provide new insights about the Epoch of Reionization (EoR). However, the…