Marco Fraccaro

According to our database, Marco Fraccaro authored at least 10 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2019

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

Martina Fischetti, Marco Fraccaro

Comput. Oper. Res., 2019

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

Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Latent Variable Models for Sequential Data.

Marco Fraccaro

PhD thesis, 2018

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

Ulrich Paquet, Marco Fraccaro

CoRR, 2018

Generative Temporal Models with Spatial Memory for Partially Observed Environments.

Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Semi-Supervised Generation with Cluster-aware Generative Models.

Lars Maaløe, Marco Fraccaro, Ole Winther

CoRR, 2017

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning.

Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A deep learning approach to adherence detection for type 2 diabetics.

Ali Mohebbi, Tinna B. Aradottir, Alexander R. Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Sequential Neural Models with Stochastic Layers.

Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search.

Marco Fraccaro, Ulrich Paquet, Ole Winther

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016