Marco Fraccaro

16 papers A* 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification. CoRR Alice Schiavone, Marco Fraccaro, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Michael Bachmann Nielsen, Vincent Beliveau, Melanie Ganz, Desmond Elliott
2025	J	`jnl`	Towards Clinically Useful AI: From Radiology Practices in Global South and North to Visions of AI Support. ACM Trans. Comput. Hum. Interact. Hubert Dariusz Zajac, Tariq O. Andersen, Elijah Kwasa, Ruth Wanjohi, Mary K. Onyinkwa, Edward K. Mwaniki, Samuel N. Gitau, Shawnim S. Yaseen, Jonathan Frederik Carlsen, Marco Fraccaro, Michael Bachmann Nielsen, Yunan Chen
2019	A*	`conf`	BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. NeurIPS Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
2019	J	`jnl`	BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. CoRR Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
2019	J	`jnl`	Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks. Comput. Oper. Res. Martina Fischetti, Marco Fraccaro
2018	J	`jnl`	An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models. CoRR Ulrich Paquet, Marco Fraccaro
2018	—	`—`	Deep Latent Variable Models for Sequential Data. Marco Fraccaro
2018	A*	`conf`	Generative Temporal Models with Spatial Memory for Partially Observed Environments. ICML Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola
2018	J	`jnl`	Generative Temporal Models with Spatial Memory for Partially Observed Environments. CoRR Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola
2017	—	`conf`	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. NIPS Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
2017	J	`jnl`	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. CoRR Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
2017	—	`conf`	A deep learning approach to adherence detection for type 2 diabetics. EMBC Ali Mohebbi, Tinna B. Aradottir, Alexander Rosenberg Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup
2017	J	`jnl`	Semi-Supervised Generation with Cluster-aware Generative Models. CoRR Lars Maaløe, Marco Fraccaro, Ole Winther
2016	A*	`conf`	Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. AAAI Marco Fraccaro, Ulrich Paquet, Ole Winther
2016	—	`conf`	Sequential Neural Models with Stochastic Layers. NIPS Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
2016	J	`jnl`	Sequential Neural Models with Stochastic Layers. CoRR Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther