Marco Fraccaro
Marco Fraccaro
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
Sequential neural models with stochastic layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
Advances in neural information processing systems, 2199-2207, 2016
1972016
A disentangled recognition and nonlinear dynamics model for unsupervised learning
M Fraccaro, S Kamronn, U Paquet, O Winther
Advances in Neural Information Processing Systems, 3601-3610, 2017
992017
BIVA: A very deep hierarchy of latent variables for generative modeling
L Maaløe, M Fraccaro, V Liévin, O Winther
Advances in neural information processing systems, 6548-6558, 2019
292019
Semi-supervised generation with cluster-aware generative models
L Maaløe, M Fraccaro, O Winther
arXiv preprint arXiv:1704.00637, 2017
202017
Palm area detection for reliable hand gesture recognition
G Marin, M Fraccaro, M Donadeo, F Dominio, P Zanuttigh
Proceedings of MMSP 2013, 120, 2013
172013
Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks
M Fischetti, M Fraccaro
Computers & Operations Research 106, 289-297, 2019
152019
Generative Temporal Models with Spatial Memory for Partially Observed Environments
M Fraccaro, DJ Rezende, Y Zwols, A Pritzel, SM Eslami, F Viola
arXiv preprint arXiv:1804.09401, 2018
142018
Indexable probabilistic matrix factorization for maximum inner product search
M Fraccaro, U Paquet, O Winther
Thirtieth AAAI Conference on Artificial Intelligence, 2016
132016
A deep learning approach to adherence detection for type 2 diabetics
A Mohebbi, TB Aradóttir, AR Johansen, H Bengtsson, M Fraccaro, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
122017
Using OR+ AI to predict the optimal production of offshore wind parks: a preliminary study
M Fischetti, M Fraccaro
International Conference on Optimization and Decision Science, 203-211, 2017
72017
Deep Latent Variable Models for Sequential Data
M Fraccaro
DTU Compute, 2018
42018
Perturbation theory for variational inference
M Opper, M Fraccaro, U Paquet, A Susemihl, O Winther
Advances in Neural Information Processing Systems Workshop on Advances in …, 2015
42015
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants
M Fraccaro, U Paquet, O Winther
arXiv preprint arXiv:1604.01972, 2016
32016
An efficient implementation of Riemannian manifold Hamiltonian Monte Carlo for Gaussian process models
U Paquet, M Fraccaro
arXiv preprint arXiv:1810.11893, 2018
22018
CaGeM: A Cluster Aware Deep Generative Model
L Maaløe, M Fraccaro, O Winther
NIPS Workshop on Advances in Approximate Bayesian Inferences, 2017
22017
Learning to index
M Fraccaro
Technical University of Denmark, 2014
2014
Learning to index
M Fraccaro
Technical University of Denmark, 2014
2014
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