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Pablo Sprechmann

University of Minnesota

Temporal Difference Uncertainties as a Signal for Exploration

Oct 05, 2020
Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, Andre Barreto, Razvan Pascanu

* 8 pages, 11 figures, 5 tables 

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Agent57: Outperforming the Atari Human Benchmark

Mar 30, 2020
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Charles Blundell


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Never Give Up: Learning Directed Exploration Strategies

Feb 14, 2020
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

* Published as a conference paper in ICLR 2020 

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Meta-learning of Sequential Strategies

May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

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Fast deep reinforcement learning using online adjustments from the past

Oct 18, 2018
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell

* Accepted at NIPS 2018 

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Meta-Learning by the Baldwin Effect

Jun 22, 2018
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu


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Memory-based Parameter Adaptation

Feb 28, 2018
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

* Published as a conference paper at ICLR 2018 

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Accelerating Eulerian Fluid Simulation With Convolutional Networks

Jun 22, 2017
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin

* Significant revision 

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Disentangling factors of variation in deep representations using adversarial training

Nov 10, 2016
Michael Mathieu, Junbo Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

* Conference paper in NIPS 2016 

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Super-Resolution with Deep Convolutional Sufficient Statistics

Mar 01, 2016
Joan Bruna, Pablo Sprechmann, Yann LeCun


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Audio Source Separation with Discriminative Scattering Networks

Apr 28, 2015
Pablo Sprechmann, Joan Bruna, Yann LeCun


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Sparse similarity-preserving hashing

Feb 16, 2014
Jonathan Masci, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro


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Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching

Nov 25, 2013
Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein, Pablo Musé, Guillermo Sapiro

* NIPS 2013 

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Learning efficient sparse and low rank models

Dec 14, 2012
Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro


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Learning Robust Low-Rank Representations

Sep 27, 2012
Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro


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Learning Efficient Structured Sparse Models

Jun 18, 2012
Alex Bronstein, Pablo Sprechmann, Guillermo Sapiro

* ICML2012 

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C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

Mar 04, 2011
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina Eldar


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Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling

Oct 23, 2010
Pablo Sprechmann, Ignacio Ramirez, Pablo Cancela, Guillermo Sapiro

* 4 pages, 3 figures, submitted to ICASSP 2011 

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