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02/24/2021
Automatic Feature Extraction for Heartbeat Anomaly Detection
We focus on automatic feature extraction for raw audio heartbeat sounds,...
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11/29/2020
Accelerating MCMC algorithms through Bayesian Deep Networks
Markov Chain Monte Carlo (MCMC) algorithms are commonly used for their v...
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09/20/2020
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold
We provide an Information-Geometric formulation of Classical Mechanics o...
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08/15/2020
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences
Bayesian Neural Networks (BNNs) often result uncalibrated after training...
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08/15/2020
Natural Wake-Sleep Algorithm
The benefits of using the natural gradient are well known in a wide rang...
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07/24/2020
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
Anomaly detection for Magnetic Resonance Images (MRIs) can be solved wit...
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05/14/2020
Constraining the Reionization History using Bayesian Normalizing Flows
The next generation 21 cm surveys open a new window onto the early stage...
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05/04/2020
Parameters Estimation from the 21 cm signal using Variational Inference
Upcoming experiments such as Hydrogen Epoch of Reionization Array (HERA)...
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12/04/2019
Natural Alpha Embeddings
Learning an embedding for a large collection of items is a popular appro...
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11/19/2019
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
In this paper, we present the first study that compares different models...
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07/05/2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds
In this paper we propose two novel bounds for the log-likelihood based o...
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01/28/2018