Pablo Sprechmann

60 papers A* 8B 1Misc 8Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2024 A* conf
Unlocking the Power of Representations in Long-term Novelty-based Exploration.
ICLR
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
2023 J jnl
TacticAI: an AI assistant for football tactics.
CoRR
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2023 J jnl
Unlocking the Power of Representations in Long-term Novelty-based Exploration.
CoRR
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
2021 J jnl
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning.
CoRR
Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
2021 J jnl
Game Plan: What AI can do for Football, and What Football can do for AI.
J. Artif. Intell. Res.
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2020 A* conf
Agent57: Outperforming the Atari Human Benchmark.
ICML
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
2020 J jnl
Agent57: Outperforming the Atari Human Benchmark.
CoRR
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
2020 J jnl
Game Plan: What AI can do for Football, and What Football can do for AI.
CoRR
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2020 A* conf
Never Give Up: Learning Directed Exploration Strategies.
ICLR
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020 J jnl
Never Give Up: Learning Directed Exploration Strategies.
CoRR
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020 J jnl
Temporal Difference Uncertainties as a Signal for Exploration.
CoRR
Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu
2019 J jnl
Meta-learning of Sequential Strategies.
CoRR
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg
2018 A* conf
Fast deep reinforcement learning using online adjustments from the past.
NeurIPS
Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
2018 J jnl
Fast deep reinforcement learning using online adjustments from the past.
CoRR
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
2018 — conf
Memory-based Parameter Adaptation.
ICLR (Poster)
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018 J jnl
Memory-based Parameter Adaptation.
CoRR
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018 J jnl
Meta-Learning by the Baldwin Effect.
CoRR
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2018 — conf
Meta-learning by the Baldwin effect.
GECCO (Companion)
Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2018 — conf
Meta-learning by the baldwin effect.
GECCO (Companion)
Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2017 — conf
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
ICLR (Workshop)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2017 A* conf
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
ICML
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2016 J jnl
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
CoRR
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
2016 — conf
Disentangling factors of variation in deep representation using adversarial training.
NIPS
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016 J jnl
Disentangling factors of variation in deep representations using adversarial training.
CoRR
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016 — ch.
Sparse Models for Intrinsic Shape Correspondence.
Perspectives in Shape Analysis
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2016 A* conf
Super-Resolution with Deep Convolutional Sufficient Statistics.
ICLR (Poster)
Joan Bruna, Pablo Sprechmann, Yann LeCun
2015 — conf
Audio Source Separation with Discriminative Scattering Networks.
LVA/ICA
Pablo Sprechmann, Joan Bruna, Yann LeCun
2015 — conf
Audio Source Separation with Discriminative Scattering Networks.
ICLR (Workshop)
Pablo Sprechmann, Joan Bruna, Yann LeCun
2015 J jnl
Learning Efficient Sparse and Low Rank Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2015 B conf
Multi-temporal foreground detection in videos.
ICIP
Mariano Tepper, Alasdair Newson, Pablo Sprechmann, Guillermo Sapiro
2015 Misc conf
Source separation with scattering Non-Negative Matrix Factorization.
ICASSP
Joan Bruna, Pablo Sprechmann, Yann LeCun
2014 Misc conf
Questionnaire simplification for fast risk analysis of children's mental health.
ICASSP
Kimberly L. H. Carpenter, Pablo Sprechmann, Marcelo Fiori, A. Robert Calderbank, Helen Link Egger, Guillermo Sapiro
2014 — conf
Sparse similarity-preserving hashing.
ICLR
Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2014 — conf
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement.
HSCMA
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2013 Misc conf
Audio restoration from multiple copies.
ICASSP
Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro
2013 — conf
Bilevel Sparse Models for Polyphonic Music Transcription.
ISMIR
Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2013 Misc conf
Learnable low rank sparse models for speech denoising.
ICASSP
Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro
2013 — conf
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching.
NIPS
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro
2013 J jnl
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching.
CoRR
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro
2013 J jnl
Sparse Modeling of Intrinsic Correspondences.
Comput. Graph. Forum
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2013 — conf
Supervised Sparse Analysis and Synthesis Operators.
NIPS
Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro
2012 Misc conf
Gaussian mixture models for score-informed instrument separation.
ICASSP
Pablo Sprechmann, Pablo Cancela, Guillermo Sapiro
2012 J jnl
Learning Efficient Structured Sparse Models
CoRR
Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2012 A* conf
Learning Efficient Structured Sparse Models.
ICML
Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2012 J jnl
Learning Robust Low-Rank Representations
CoRR
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012 J jnl
Learning efficient sparse and low rank models
CoRR
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012 — conf
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.
ISMIR
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
2012 — ch.
Second-generation sparse modeling: structured and collaborative signal analysis.
Compressed Sensing
Alexey Castrodad, Ignacio Ramírez, Guillermo Sapiro, Pablo Sprechmann, Guoshen Yu
2012 J jnl
Sparse Modeling of Intrinsic Correspondences
CoRR
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
2011 J jnl
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework.
IEEE Trans. Signal Process.
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
2011 Misc conf
Collaborative sources identification in mixed signals via hierarchical sparse modeling.
ICASSP
Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro
2010 J jnl
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
CoRR
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
2010 A* conf
Classification and clustering via dictionary learning with structured incoherence and shared features.
CVPR
Ignacio Ramírez, Pablo Sprechmann, Guillermo Sapiro
2010 J jnl
Collaborative Hierarchical Sparse Modeling
CoRR
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
2010 J jnl
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling
CoRR
Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro
2010 Misc conf
Collaborative hierarchical sparse modeling.
CISS
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
2010 Misc conf
Dictionary learning and sparse coding for unsupervised clustering.
ICASSP
Pablo Sprechmann, Guillermo Sapiro
2009 — conf
A-Contrario Localization of Epileptogenic Zones in Spect Images.
ISBI
Cecilia Aguerrebere, Pablo Sprechmann, Pablo Musé, Rodolfo Ferrando
2007 — conf
Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography.
ISBI
Alberto Bartesaghi, Pablo Sprechmann, Gregory Randall, Guillermo Sapiro, Sriram Subramaniam
2007 J jnl
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation.
IEEE Trans. Image Process.
Pablo Arias, Alejandro Pini, Gonzalo R. Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall