Pablo Sprechmann

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

American Football

Foreground Detection

Reinforcement Learning

Source Separation

Top Venues

GECCO (Companion)

Publications

Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Unlocking the Power of Representations in Long-term Novelty-based Exploration. ICLR (2024)
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Unlocking the Power of Representations in Long-term Novelty-based Exploration. CoRR (2023)
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
TacticAI: an AI assistant for football tactics. CoRR (2023)
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
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71 (2021)
Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR (2021)
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
Agent57: Outperforming the Atari Human Benchmark. ICML (2020)
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
Agent57: Outperforming the Atari Human Benchmark. CoRR (2020)
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
Never Give Up: Learning Directed Exploration Strategies. CoRR (2020)
Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu
Temporal Difference Uncertainties as a Signal for Exploration. CoRR (2020)
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
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR (2020)
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
Never Give Up: Learning Directed Exploration Strategies. ICLR (2020)
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 Botvinick, Shane Legg
Meta-learning of Sequential Strategies. CoRR (2019)
Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. NeurIPS (2018)
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
Meta-Learning by the Baldwin Effect. CoRR (2018)
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
Memory-based Parameter Adaptation. ICLR (Poster) (2018)
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. CoRR (2018)
Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
Meta-learning by the baldwin effect. GECCO (Companion) (2018)
Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
Meta-learning by the Baldwin effect. GECCO (Companion) (2018)
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
Memory-based Parameter Adaptation. CoRR (2018)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICLR (Workshop) (2017)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICML (2017)
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
Accelerating Eulerian Fluid Simulation With Convolutional Networks. CoRR (2016)
Joan Bruna, Pablo Sprechmann, Yann LeCun
Super-Resolution with Deep Convolutional Sufficient Statistics. ICLR (Poster) (2016)
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
Disentangling factors of variation in deep representations using adversarial training. CoRR (2016)
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
Disentangling factors of variation in deep representation using adversarial training. NIPS (2016)
Pablo Sprechmann, Joan Bruna, Yann LeCun
Audio Source Separation with Discriminative Scattering Networks. LVA/ICA (2015)
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Learning Efficient Sparse and Low Rank Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (9) (2015)
Mariano Tepper, Alasdair Newson, Pablo Sprechmann, Guillermo Sapiro
Multi-temporal foreground detection in videos. ICIP (2015)
Pablo Sprechmann, Joan Bruna, Yann LeCun
Audio Source Separation with Discriminative Scattering Networks. ICLR (Workshop) (2015)
Joan Bruna, Pablo Sprechmann, Yann LeCun
Source separation with scattering Non-Negative Matrix Factorization. ICASSP (2015)
Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Sparse similarity-preserving hashing. ICLR (2014)
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. HSCMA (2014)
Kimberly L. H. Carpenter, Pablo Sprechmann, Marcelo Fiori, A. Robert Calderbank, Helen Link Egger, Guillermo Sapiro
Questionnaire simplification for fast risk analysis of children's mental health. ICASSP (2014)
Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro
Learnable low rank sparse models for speech denoising. ICASSP (2013)
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Sparse Modeling of Intrinsic Correspondences. Comput. Graph. Forum 32 (2) (2013)
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. NIPS (2013)
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. CoRR (2013)
Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro
Audio restoration from multiple copies. ICASSP (2013)
Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Bilevel Sparse Models for Polyphonic Music Transcription. ISMIR (2013)
Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro
Supervised Sparse Analysis and Synthesis Operators. NIPS (2013)
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Sparse Modeling of Intrinsic Correspondences CoRR (2012)
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Learning efficient sparse and low rank models CoRR (2012)
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. ISMIR (2012)
Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro
Learning Robust Low-Rank Representations CoRR (2012)
Pablo Sprechmann, Pablo Cancela, Guillermo Sapiro
Gaussian mixture models for score-informed instrument separation. ICASSP (2012)
Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Learning Efficient Structured Sparse Models CoRR (2012)
Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Learning Efficient Structured Sparse Models. ICML (2012)
Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro
Collaborative sources identification in mixed signals via hierarchical sparse modeling. ICASSP (2011)
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. IEEE Trans. Signal Process. 59 (9) (2011)
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
Collaborative Hierarchical Sparse Modeling CoRR (2010)
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework CoRR (2010)
Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar
Collaborative hierarchical sparse modeling. CISS (2010)
Pablo Sprechmann, Guillermo Sapiro
Dictionary learning and sparse coding for unsupervised clustering. ICASSP (2010)
Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling CoRR (2010)
Ignacio Ramírez, Pablo Sprechmann, Guillermo Sapiro
Classification and clustering via dictionary learning with structured incoherence and shared features. CVPR (2010)
Cecilia Aguerrebere, Pablo Sprechmann, Pablo Musé, Rodolfo Ferrando
A-Contrario Localization of Epileptogenic Zones in Spect Images. ISBI (2009)
Pablo Arias, Alejandro Pini, Gonzalo R. Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. IEEE Trans. Image Process. 16 (6) (2007)
Alberto Bartesaghi, Pablo Sprechmann, Gregory Randall, Guillermo Sapiro, Sriram Subramaniam
Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography. ISBI (2007)