NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (15)

math.OC2013

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching

Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein +2

cs.LG2018

Fast deep reinforcement learning using online adjustments from the past

Steven Hansen, Pablo Sprechmann, Alexander Pritzel +2

stat.ML2018

Memory-based Parameter Adaptation

Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae +7

cs.NE2018

Meta-Learning by the Baldwin Effect

Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero +6

cs.CV2016

Super-Resolution with Deep Convolutional Sufficient Statistics

Joan Bruna, Pablo Sprechmann, Yann LeCun

cs.LG2012

Learning Robust Low-Rank Representations

Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro

cs.CV2014

Sparse similarity-preserving hashing

Jonathan Masci, Alex M. Bronstein, Michael M. Bronstein +2

cs.LG2019

Meta-learning of Sequential Strategies

Pedro A. Ortega, Jane X. Wang, Mark Rowland +21

cs.IT2010

Collaborative Hierarchical Sparse Modeling

Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapiro +1

cs.LG2012

Learning efficient sparse and low rank models

Pablo Sprechmann, Alex M. Bronstein, Guillermo Sapiro

cs.CV2010

Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling

Pablo Sprechmann, Ignacio Ramirez, Pablo Cancela +1

cs.SD2015

Audio Source Separation with Discriminative Scattering Networks

Pablo Sprechmann, Joan Bruna, Yann LeCun

cs.LG2012

Learning Efficient Structured Sparse Models

Alex Bronstein, Pablo Sprechmann, Guillermo Sapiro

stat.ML2011

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro +1

cs.LG2016

Disentangling factors of variation in deep representations using adversarial training

Michael Mathieu, Junbo Zhao, Pablo Sprechmann +2