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ORCIDPablo Sprechmann
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2020 – today
- 2024
[c32]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- 2023
- [i21]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 abs/2305.01521 (2023) - [i20]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 abs/2310.10553 (2023) - 2021
- [j5]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: 41-88 (2021) - [i19]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 abs/2102.13515 (2021) - 2020
- [c31]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 - [c30]Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell:
Agent57: Outperforming the Atari Human Benchmark. ICML 2020: 507-517 - [i18]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 abs/2002.06038 (2020) - [i17]Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell:
Agent57: Outperforming the Atari Human Benchmark. CoRR abs/2003.13350 (2020) - [i16]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 abs/2010.02255 (2020) - [i15]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 abs/2011.09192 (2020)
2010 – 2019
- 2019
- [i14]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:
Meta-learning of Sequential Strategies. CoRR abs/1905.03030 (2019) - 2018
- [c29]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: 109-110 - [c28]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: 1313-1320 - [c27]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 - [c26]Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell:
Fast deep reinforcement learning using online adjustments from the past. NeurIPS 2018: 10590-10600 - [i13]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 abs/1802.10542 (2018) - [i12]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 abs/1806.07917 (2018) - [i11]Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell:
Fast deep reinforcement learning using online adjustments from the past. CoRR abs/1810.08163 (2018) - 2017
- [c25]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICLR (Workshop) 2017 - [c24]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. ICML 2017: 3424-3433 - 2016
- [c23]Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun:
Disentangling factors of variation in deep representation using adversarial training. NIPS 2016: 5041-5049 - [c22]Joan Bruna, Pablo Sprechmann, Yann LeCun:
Super-Resolution with Deep Convolutional Sufficient Statistics. ICLR (Poster) 2016 - [p2]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Models for Intrinsic Shape Correspondence. Perspectives in Shape Analysis 2016: 211-230 - [i10]Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin:
Accelerating Eulerian Fluid Simulation With Convolutional Networks. CoRR abs/1607.03597 (2016) - [i9]Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun:
Disentangling factors of variation in deep representations using adversarial training. CoRR abs/1611.03383 (2016) - 2015
- [j4]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning Efficient Sparse and Low Rank Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1821-1833 (2015) - [c21]Pablo Sprechmann, Joan Bruna, Yann LeCun:
Audio Source Separation with Discriminative Scattering Networks. LVA/ICA 2015: 259-267 - [c20]Joan Bruna, Pablo Sprechmann, Yann LeCun:
Source separation with scattering Non-Negative Matrix Factorization. ICASSP 2015: 1876-1880 - [c19]Mariano Tepper, Alasdair Newson, Pablo Sprechmann, Guillermo Sapiro:
Multi-temporal foreground detection in videos. ICIP 2015: 4599-4603 - [c18]Pablo Sprechmann, Joan Bruna, Yann LeCun:
Audio Source Separation with Discriminative Scattering Networks. ICLR (Workshop) 2015 - 2014
- [c17]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. HSCMA 2014: 11-15 - [c16]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: 6009-6013 - [c15]Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse similarity-preserving hashing. ICLR 2014 - 2013
- [j3]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Modeling of Intrinsic Correspondences. Comput. Graph. Forum 32(2): 459-468 (2013) - [c14]Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro:
Learnable low rank sparse models for speech denoising. ICASSP 2013: 136-140 - [c13]Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro:
Audio restoration from multiple copies. ICASSP 2013: 878-882 - [c12]Tal Ben Yakar, Roee Litman, Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Bilevel Sparse Models for Polyphonic Music Transcription. ISMIR 2013: 65-70 - [c11]Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro:
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. NIPS 2013: 127-135 - [c10]Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro:
Supervised Sparse Analysis and Synthesis Operators. NIPS 2013: 908-916 - [i8]Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Musé, Guillermo Sapiro:
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. CoRR abs/1311.6425 (2013) - 2012
- [c9]Pablo Sprechmann, Pablo Cancela, Guillermo Sapiro:
Gaussian mixture models for score-informed instrument separation. ICASSP 2012: 49-52 - [c8]Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Learning Efficient Structured Sparse Models. ICML 2012 - [c7]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. ISMIR 2012: 67-72 - [p1]Alexey Castrodad, Ignacio Ramírez, Guillermo Sapiro, Pablo Sprechmann, Guoshen Yu:
Second-generation sparse modeling: structured and collaborative signal analysis. Compressed Sensing 2012: 65-87 - [i7]Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Learning Efficient Structured Sparse Models. CoRR abs/1206.4649 (2012) - [i6]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning Robust Low-Rank Representations. CoRR abs/1209.6393 (2012) - [i5]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Modeling of Intrinsic Correspondences. CoRR abs/1209.6560 (2012) - [i4]Pablo Sprechmann, Alexander M. Bronstein, Guillermo Sapiro:
Learning efficient sparse and low rank models. CoRR abs/1212.3631 (2012) - 2011
- [j2]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. IEEE Trans. Signal Process. 59(9): 4183-4198 (2011) - [c6]Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro:
Collaborative sources identification in mixed signals via hierarchical sparse modeling. ICASSP 2011: 5816-5819 - 2010
- [c5]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
Collaborative hierarchical sparse modeling. CISS 2010: 1-6 - [c4]Ignacio Ramírez, Pablo Sprechmann, Guillermo Sapiro:
Classification and clustering via dictionary learning with structured incoherence and shared features. CVPR 2010: 3501-3508 - [c3]Pablo Sprechmann, Guillermo Sapiro:
Dictionary learning and sparse coding for unsupervised clustering. ICASSP 2010: 2042-2045 - [i3]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
Collaborative Hierarchical Sparse Modeling. CoRR abs/1003.0400 (2010) - [i2]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. CoRR abs/1006.1346 (2010) - [i1]Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro:
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling. CoRR abs/1010.4893 (2010)
2000 – 2009
- 2009
- [c2]Cecilia Aguerrebere, Pablo Sprechmann, Pablo Musé, Rodolfo Ferrando:
A-Contrario Localization of Epileptogenic Zones in Spect Images. ISBI 2009: 570-573 - 2007
- [j1]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): 1637-1645 (2007) - [c1]Alberto Bartesaghi, Pablo Sprechmann, Gregory Randall, Guillermo Sapiro, Sriram Subramaniam:
Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography. ISBI 2007: 244-247
Coauthor Index
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