54 citations · 111 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold
Goffredo Chirco, Luigi Malagò, Giovanni Pistone
We provide an Information-Geometric formulation of Classical Mechanics on the Riemannian manifold of probability distributions, which is an affine manifold endowed with a dually-fl…
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…
Natural Reweighted Wake-Sleep
Csongor Várady, Riccardo Volpi, Luigi Malagò +1
Helmholtz Machines (HMs) are a class of generative models composed of two Sigmoid Belief Networks (SBNs), acting respectively as an encoder and a decoder. These models are commonly…
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…