Pablo Sprechmann

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Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Alex BronsteinTechnion, Department of Computer ScienceVerified email at technion.ac.il
Ignacio Francisco Ramirez PaulinoInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, UruguayVerified email at fing.edu.uy
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Gregory RandallProfesor Instituto de Ingenieria Electrica, Universidad de la RepúblicaVerified email at fing.edu.uy
Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Joan BrunaCourant Institute of Mathematical Sciences, New York UniversityVerified email at cims.nyu.edu
Alberto Bartesaghi, PhDDuke UniversityVerified email at duke.edu
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Michael MathieuDeepMindVerified email at google.com
Jake Zhao (Junbo)Zhejiang University, ZJU100 Young ProfessorVerified email at zju.edu.cn
Jonathan TompsonGoogleVerified email at google.com
Kristofer SchlachterNYUVerified email at cs.nyu.edu
Jonathan PokrassVerified email at post.tau.ac.il
Roee LitmanVerified email at tau.ac.il
Tal Ben YakarVerified email at csail.mit.edu
Pablo MuséProfessor of Signal and Image Processing, Universidad de la RepublicaVerified email at fing.edu.uy
Jun Liu, PhDProfessor of Microbial Pathogenesis, Microbial Sciences Institute, Yale UniversityVerified email at yale.edu
Marcelo FioriPhD, Universidad de la República, UruguayVerified email at fing.edu.uy
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke UniversityVerified email at duke.edu

Pablo Sprechmann

Research Scientist at Google DeepMind

Verified email at google.com


Title Sort by citations Sort by year Sort by 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	884	2010
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 29, 2016	438	2016
Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International Conference on Machine Learning, 3424-3433, 2017	424	2017
Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv:1511.05666, 2015	309	2015
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	257	2020
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	191	2011
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	179	2015
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	163	2008
Dictionary learning and sparse coding for unsupervised clustering P Sprechmann, G Sapiro 2010 IEEE international conference on acoustics, speech and signal …, 2010	154	2010
Sparse modeling of intrinsic correspondences J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro Computer graphics forum 32 (2pt4), 459-468, 2013	128	2013
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	110*	2020
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. P Sprechmann, AM Bronstein, G Sapiro ISMIR, 67-72, 2012	72	2012
Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... arXiv preprint arXiv:1802.10542, 2018	66	2018
Supervised sparse analysis and synthesis operators P Sprechmann, R Litman, T Ben Yakar, AM Bronstein, G Sapiro Advances in Neural Information Processing Systems 26, 2013	62	2013
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	53	2010
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	48	2014
Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019	41	2019
Learning efficient structured sparse models A Bronstein, P Sprechmann, G Sapiro arXiv preprint arXiv:1206.4649, 2012	41	2012
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	37	2018
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 26, 2013	37	2013

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