Marco Fraccaro

A deep learning approach to adherence detection for type 2 diabetics

Morten Mørup, Ali Mohebbi, Tinna B. Aradottir, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

Ole Winther, Marco Fraccaro, Lars Maaløe, 2019, NeurIPS.

Semi-Supervised Generation with Cluster-aware Generative Models pdf

Ole Winther, Marco Fraccaro, Lars Maaløe, 2017, ArXiv.

Generative Temporal Models with Spatial Memory for Partially Observed Environments pdf

Fabio Viola, Marco Fraccaro, Alexander Pritzel, 2018, ICML.

Sequential Neural Models with Stochastic Layers

Ole Winther, Marco Fraccaro, Ulrich Paquet, 2016, NIPS.

Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks

Marco Fraccaro, Martina Fischetti, Marco Fraccaro, 2018, Comput. Oper. Res..

Using OR + AI to Predict the Optimal Production of Offshore Wind Parks: A Preliminary Study

Marco Fraccaro, Martina Fischetti, 2017 .

Palm area detection for reliable hand gesture recognition

Marco Fraccaro, Pietro Zanuttigh, Mauro Donadeo, 2013 .

Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search

Ole Winther, Marco Fraccaro, Ulrich Paquet, 2016, AAAI.

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

Ole Winther, Marco Fraccaro, Ulrich Paquet, 2017, NIPS.

An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models pdf

Marco Fraccaro, Ulrich Paquet, 2016, ArXiv.