Marco Fraccaro

Publication Activity (10 Years)

Years Active: 2016-2019
Publications (10 Years): 13

Top Topics

Nonlinear Dynamics

Conditionally Independent

Unsupervised Learning

Top Venues

Comput. Oper. Res.

Publications

Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. CoRR (2019)
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. NeurIPS (2019)
Martina Fischetti, Marco Fraccaro
Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks. Comput. Oper. Res. 106 (2019)
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola
Generative Temporal Models with Spatial Memory for Partially Observed Environments. ICML (2018)
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola
Generative Temporal Models with Spatial Memory for Partially Observed Environments. CoRR (2018)
Ulrich Paquet, Marco Fraccaro
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models. CoRR (2018)
Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. CoRR (2017)
Ali Mohebbi, Tinna B. Aradottir, Alexander R. Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup
A deep learning approach to adherence detection for type 2 diabetics. EMBC (2017)
Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. NIPS (2017)
Lars Maaløe, Marco Fraccaro, Ole Winther
Semi-Supervised Generation with Cluster-aware Generative Models. CoRR (2017)
Marco Fraccaro, Ulrich Paquet, Ole Winther
Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. AAAI (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. CoRR (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. NIPS (2016)