Pablo Sprechmann

According to our database, Pablo Sprechmann authored at least 42 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TacticAI: an AI assistant for football tactics.

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

CoRR, 2023

Unlocking the Power of Representations in Long-term Novelty-based Exploration.

Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot

CoRR, 2023

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

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

J. Artif. Intell. Res., 2021

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning.

Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell

CoRR, 2021

2020

Temporal Difference Uncertainties as a Signal for Exploration.

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

CoRR, 2020

Agent57: Outperforming the Atari Human Benchmark.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

Never Give Up: Learning Directed Exploration Strategies.

Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Meta-learning of Sequential Strategies.

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

CoRR, 2019

2018

Fast deep reinforcement learning using online adjustments from the past.

Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Memory-based Parameter Adaptation.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Meta-learning by the Baldwin effect.

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Accelerating Eulerian Fluid Simulation With Convolutional Networks.

Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Disentangling factors of variation in deep representations using adversarial training.

Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

CoRR, 2016

Super-Resolution with Deep Convolutional Sufficient Statistics.

Joan Bruna, Pablo Sprechmann, Yann LeCun

Proceedings of the 4th International Conference on Learning Representations, 2016

Disentangling factors of variation in deep representation using adversarial training.

Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sparse Models for Intrinsic Shape Correspondence.

Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Learning Efficient Sparse and Low Rank Models.

Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Audio Source Separation with Discriminative Scattering Networks.

Pablo Sprechmann, Joan Bruna, Yann LeCun

Proceedings of the 3rd International Conference on Learning Representations, 2015

Multi-temporal foreground detection in videos.

Mariano Tepper, Alasdair Newson, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Source separation with scattering Non-Negative Matrix Factorization.

Joan Bruna, Pablo Sprechmann, Yann LeCun

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Sparse similarity-preserving hashing.

Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the 2nd International Conference on Learning Representations, 2014

Questionnaire simplification for fast risk analysis of children's mental health.

Kimberly L. H. Carpenter, Pablo Sprechmann, Marcelo Fiori, A. Robert Calderbank, Helen Link Egger, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2014

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement.

Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

2013

Sparse Modeling of Intrinsic Correspondences.

Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro

Comput. Graph. Forum, 2013

Supervised Sparse Analysis and Synthesis Operators.

Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching.

Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bilevel Sparse Models for Polyphonic Music Transcription.

Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Audio restoration from multiple copies.

Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2013

Learnable low rank sparse models for speech denoising.

Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Learning Robust Low-Rank Representations

Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro

CoRR, 2012

Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.

Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Learning Efficient Structured Sparse Models.

Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the 29th International Conference on Machine Learning, 2012

Gaussian mixture models for score-informed instrument separation.

Pablo Sprechmann, Pablo Cancela, Guillermo Sapiro

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Second-generation sparse modeling: structured and collaborative signal analysis.

Alexey Castrodad, Ignacio Ramírez, Guillermo Sapiro, Pablo Sprechmann, Guoshen Yu

Proceedings of the Compressed Sensing, 2012

2011

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework.

Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar

IEEE Trans. Signal Process., 2011

Collaborative sources identification in mixed signals via hierarchical sparse modeling.

Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Dictionary learning and sparse coding for unsupervised clustering.

Pablo Sprechmann, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2010

Classification and clustering via dictionary learning with structured incoherence and shared features.

Ignacio Ramírez, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Collaborative hierarchical sparse modeling.

Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

A-Contrario Localization of Epileptogenic Zones in Spect Images.

Cecilia Aguerrebere, Pablo Sprechmann, Pablo Musé, Rodolfo Ferrando

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2007

Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation.

Pablo Arias, Alejandro Pini, Gonzalo R. Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall

IEEE Trans. Image Process., 2007

Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography.

Alberto Bartesaghi, Pablo Sprechmann, Gregory Randall, Guillermo Sapiro, Sriram Subramaniam

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007