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
7872010
Disentangling factors of variation in deep representation using adversarial training
MF Mathieu, JJ Zhao, J Zhao, A Ramesh, P Sprechmann, Y LeCun
Advances in neural information processing systems, 5040-5048, 2016
3002016
Accelerating eulerian fluid simulation with convolutional networks
J Tompson, K Schlachter, P Sprechmann, K Perlin
International Conference on Machine Learning, 3424-3433, 2017
2482017
Super-resolution with deep convolutional sufficient statistics
J Bruna, P Sprechmann, Y LeCun
arXiv preprint arXiv:1511.05666, 2015
2092015
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
1852011
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
1482015
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
1452008
Dictionary learning and sparse coding for unsupervised clustering
P Sprechmann, G Sapiro
2010 IEEE international conference on acoustics, speech and signal …, 2010
1382010
Sparse modeling of intrinsic correspondences
J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
Computer Graphics Forum 32 (2pt4), 459-468, 2013
1092013
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.
P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 67-72, 2012
642012
Supervised sparse analysis and synthesis operators
P Sprechmann, R Litman, TB Yakar, AM Bronstein, G Sapiro
Advances in Neural Information Processing Systems, 908-916, 2013
462013
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
462010
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
452018
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
362014
Robust multimodal graph matching: Sparse coding meets graph matching
M Fiori, P Sprechmann, J Vogelstein, P Musé, G Sapiro
Advances in Neural Information Processing Systems, 127-135, 2013
322013
Sparse similarity-preserving hashing
J Masci, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
arXiv preprint arXiv:1312.5479, 2013
272013
Meta-learning by the baldwin effect
C Fernando, J Sygnowski, S Osindero, J Wang, T Schaul, D Teplyashin, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
262018
Agent57: Outperforming the atari human benchmark
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, D Guo, ...
arXiv preprint arXiv:2003.13350, 2020
252020
Learning efficient structured sparse models
P Sprechmann, A Bronstein, G Sapiro
International Conference on Machine Learning (ICML), 615-622, 2012
252012
Bilevel Sparse Models for Polyphonic Music Transcription.
TB Yakar, R Litman, P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 65-70, 2013
242013
The system can't perform the operation now. Try again later.
Articles 1–20