18 citations · 31 across the 7 of their papers we have counts for
9 papers
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…
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…
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
Anomaly detection for Magnetic Resonance Images (MRIs) can be solved with unsupervised methods by learning the distribution of healthy images and identifying anomalies as outliers.…
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…
Parameters Estimation from the 21 cm signal using Variational Inference
Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
Upcoming experiments such as Hydrogen Epoch of Reionization Array (HERA) and Square Kilometre Array (SKA) are intended to measure the 21cm signal over a wide range of redshifts, re…