Pablo Sprechmann
Pablo Sprechmann
Research Scientist at Google DeepMind
Verified email at google.com - Homepage
TitleCited byYear
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
7362010
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
2152016
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
1722011
Accelerating eulerian fluid simulation with convolutional networks
J Tompson, K Schlachter, P Sprechmann, K Perlin
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1652017
Super-resolution with deep convolutional sufficient statistics
J Bruna, P Sprechmann, Y LeCun
arXiv preprint arXiv:1511.05666, 2015
1592015
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
1312008
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
1272015
Dictionary learning and sparse coding for unsupervised clustering
P Sprechmann, G Sapiro
2010 IEEE international conference on acoustics, speech and signal …, 2010
1272010
Sparse modeling of intrinsic correspondences
J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
Computer Graphics Forum 32 (2pt4), 459-468, 2013
1022013
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.
P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 67-72, 2012
622012
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
422013
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
412010
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
342014
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
312018
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
282013
Sparse similarity-preserving hashing
J Masci, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
arXiv preprint arXiv:1312.5479, 2013
252013
Learning efficient structured sparse models
P Sprechmann, A Bronstein, G Sapiro
Proceedings of the 29th International Conference on Machine Learning 1, 615-622, 2012
232012
Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation
P Arias, A Pini, G Sanguinetti, P Sprechmann, P Cancela, A Fernández, ...
IEEE Transactions on Image Processing 16 (6), 1637-1645, 2007
232007
Bilevel Sparse Models for Polyphonic Music Transcription.
TB Yakar, R Litman, P Sprechmann, AM Bronstein, G Sapiro
ISMIR, 65-70, 2013
192013
Learning efficient structured sparse models
A Bronstein, P Sprechmann, G Sapiro
arXiv preprint arXiv:1206.4649, 2012
152012
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