Classification, Averaging and Reconstruction of Macromolecules in Electron Tomography. - Alberto Bartesaghi; Pablo Sprechmann; Gregory Randall; Guillermo Sapiro; Sriram Subramaniam (ISBI, 2007)

Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. - Pablo Arias 001; Alejandro Pini; Gonzalo R. Sanguinetti; Pablo Sprechmann; Pablo Cancela; Alicia Fernández; Alvaro Gómez; Gregory Randall (IEEE Trans. Image Process., 2007)

A-Contrario Localization of Epileptogenic Zones in Spect Images. - Cecilia Aguerrebere; Pablo Sprechmann; Pablo Musé; Rodolfo Ferrando (ISBI, 2009)

Collaborative hierarchical sparse modeling. - Pablo Sprechmann; Ignacio Ramírez; Guillermo Sapiro; Yonina C. Eldar (CISS, 2010)

Classification and clustering via dictionary learning with structured incoherence and shared features. - Ignacio Ramírez; Pablo Sprechmann; Guillermo Sapiro (CVPR, 2010)

Dictionary learning and sparse coding for unsupervised clustering. - Pablo Sprechmann; Guillermo Sapiro (ICASSP, 2010)

Collaborative sources identification in mixed signals via hierarchical sparse modeling. - Pablo Sprechmann; Ignacio Ramírez; Pablo Cancela; Guillermo Sapiro (ICASSP, 2011)

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. - Pablo Sprechmann; Ignacio Ramírez; Guillermo Sapiro; Yonina C. Eldar (IEEE Trans. Signal Process., 2011)

Second-generation sparse modeling: structured and collaborative signal analysis. - Alexey Castrodad; Ignacio Ramírez; Guillermo Sapiro; Pablo Sprechmann; Guoshen Yu (Compressed Sensing, 2012)

Gaussian mixture models for score-informed instrument separation. - Pablo Sprechmann; Pablo Cancela; Guillermo Sapiro (ICASSP, 2012)

Learning Efficient Structured Sparse Models. - Alexander M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (ICML, 2012)

Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (ISMIR, 2012)

Learning Robust Low-Rank Representations - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (CoRR, 2012)

Learnable low rank sparse models for speech denoising. - Pablo Sprechmann; Alexander M. Bronstein; Michael M. Bronstein; Guillermo Sapiro (ICASSP, 2013)

Audio restoration from multiple copies. - Pablo Sprechmann; Alexander M. Bronstein; Jean-Michel Morel; Guillermo Sapiro (ICASSP, 2013)

Bilevel Sparse Models for Polyphonic Music Transcription. - Tal Ben Yakar; Roee Litman; Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (ISMIR, 2013)

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. - Marcelo Fiori; Pablo Sprechmann; Joshua T. Vogelstein; Pablo Musé; Guillermo Sapiro (NIPS, 2013)

Supervised Sparse Analysis and Synthesis Operators. - Pablo Sprechmann; Roee Litman; Tal Ben Yakar; Alexander M. Bronstein; Guillermo Sapiro (NIPS, 2013)

Sparse Modeling of Intrinsic Correspondences. - Jonathan Pokrass; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (Comput. Graph. Forum, 2013)

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (HSCMA, 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 (ICASSP, 2014)

Sparse similarity-preserving hashing. - Jonathan Masci; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (ICLR, 2014)

Source separation with scattering Non-Negative Matrix Factorization. - Joan Bruna; Pablo Sprechmann; Yann LeCun (ICASSP, 2015)

Multi-temporal foreground detection in videos. - Mariano Tepper; Alasdair Newson; Pablo Sprechmann; Guillermo Sapiro (ICIP, 2015)

Audio Source Separation with Discriminative Scattering Networks. - Pablo Sprechmann; Joan Bruna; Yann LeCun (ICLR (Workshop), 2015)

Learning Efficient Sparse and Low Rank Models. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Sparse Models for Intrinsic Shape Correspondence. - Jonathan Pokrass; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (Perspectives in Shape Analysis, 2016)

Disentangling factors of variation in deep representation using adversarial training. - Michaël Mathieu; Junbo Jake Zhao; Pablo Sprechmann; Aditya Ramesh; Yann LeCun (NIPS, 2016)

Super-Resolution with Deep Convolutional Sufficient Statistics. - Joan Bruna; Pablo Sprechmann; Yann LeCun (ICLR (Poster), 2016)

Disentangling factors of variation in deep representations using adversarial training. - Michaël Mathieu; Junbo Jake Zhao; Pablo Sprechmann; Aditya Ramesh; Yann LeCun (CoRR, 2016)

Accelerating Eulerian Fluid Simulation With Convolutional Networks. - Jonathan Tompson; Kristofer Schlachter; Pablo Sprechmann; Ken Perlin (ICML, 2017)

Meta-learning by the baldwin effect. - Chrisantha Fernando; Jakub Sygnowski; Simon Osindero; Jane Wang 001; Tom Schaul; Denis Teplyashin; Pablo Sprechmann; Alexander Pritzel; Andrei A. Rusu (GECCO (Companion), 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 (ICLR (Poster), 2018)

Fast deep reinforcement learning using online adjustments from the past. - Steven Hansen 001; Alexander Pritzel; Pablo Sprechmann; André Barreto 001; Charles Blundell (NeurIPS, 2018)

Meta-learning of Sequential Strategies. - Pedro A. Ortega; Jane X. Wang; Mark Rowland 001; Tim Genewein; Zeb Kurth-Nelson; Razvan Pascanu; Nicolas Heess; Joel Veness; Alexander Pritzel; Pablo Sprechmann; Siddhant M. Jayakumar; Tom McGrath; et al. (CoRR, 2019)

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 (ICLR, 2020)

Agent57: Outperforming the Atari Human Benchmark. - Adrià Puigdomènech Badia; Bilal Piot; Steven Kapturowski; Pablo Sprechmann; Alex Vitvitskyi; Zhaohan Daniel Guo; Charles Blundell (ICML, 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 001; Razvan Pascanu (CoRR, 2020)

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. - Víctor Campos 001; Pablo Sprechmann; Steven Hansen 001; André Barreto 001; Steven Kapturowski; Alex Vitvitskyi; Adrià Puigdomènech Badia; Charles Blundell (CoRR, 2021)

Game Plan: What AI can do for Football, and What Football can do for AI. - Karl Tuyls; Shayegan Omidshafiei; Paul Muller; Zhe Wang 055; Jerome T. Connor; Daniel Hennes; Ian Graham; William Spearman; Tim Waskett; Dafydd Steele; Pauline Luc; Adrià Recasens; et al. (J. Artif. Intell. Res., 2021)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (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 (ICLR, 2024)