Pablo Sprechmann
Pablo Sprechmann
Research Scientist at Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Classification and clustering via dictionary learning with structured incoherence and shared features
I Ramirez, P Sprechmann, G Sapiro
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
8382010
Disentangling factors of variation in deep representations using adversarial training
M Mathieu, J Zhao, P Sprechmann, A Ramesh, Y LeCun
arXiv preprint arXiv:1611.03383, 2016
3592016
Accelerating eulerian fluid simulation with convolutional networks
J Tompson, K Schlachter, P Sprechmann, K Perlin
International Conference on Machine Learning, 3424-3433, 2017
3072017
Super-resolution with deep convolutional sufficient statistics
J Bruna, P Sprechmann, Y LeCun
arXiv preprint arXiv:1511.05666, 2015
2652015
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
P Sprechmann, I Ramírez, G Sapiro, YC Eldar
Signal Processing, IEEE Transactions on 59 (9), 4183-4198, 2011
1862011
Learning efficient sparse and low rank models
P Sprechmann, AM Bronstein, G Sapiro
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1821-1833, 2015
1652015
Classification and 3D averaging with missing wedge correction in biological electron tomography
A Bartesaghi, P Sprechmann, J Liu, G Randall, G Sapiro, S Subramaniam
Journal of structural biology 162 (3), 436-450, 2008
1502008
Dictionary learning and sparse coding for unsupervised clustering
P Sprechmann, G Sapiro
2010 IEEE international conference on acoustics, speech and signal …, 2010
1442010
Sparse modeling of intrinsic correspondences
J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
Computer Graphics Forum 32 (2pt4), 459-468, 2013
1212013
Agent57: Outperforming the atari human benchmark
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, ZD Guo, ...
International Conference on Machine Learning, 507-517, 2020
842020
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.
P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 67-72, 2012
682012
Supervised sparse analysis and synthesis operators
P Sprechmann, R Litman, T Ben Yakar, AM Bronstein, G Sapiro
Advances in Neural Information Processing Systems 26, 908-916, 2013
552013
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
542018
Collaborative hierarchical sparse modeling
P Sprechmann, I Ramirez, G Sapiro, Y Eldar
2010 44th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2010
492010
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement
P Sprechmann, AM Bronstein, G Sapiro
2014 4th Joint Workshop on Hands-free Speech Communication and Microphone …, 2014
412014
Learning efficient structured sparse models
A Bronstein, P Sprechmann, G Sapiro
arXiv preprint arXiv:1206.4649, 2012
412012
Never give up: Learning directed exploration strategies
A Puigdomènech Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, ...
arXiv e-prints, arXiv: 2002.06038, 2020
36*2020
Episodic memory in lifelong language learning
CM d'Autume, S Ruder, L Kong, D Yogatama
arXiv preprint arXiv:1906.01076, 2019
352019
Robust multimodal graph matching: Sparse coding meets graph matching
M Fiori, P Sprechmann, J Vogelstein, P Musé, G Sapiro
arXiv preprint arXiv:1311.6425, 2013
352013
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
302019
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