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
Charles BlundellResearch Scientist at DeepMindVerified email at google.com
Adrià Puigdomènech BadiaDeepMindVerified email at google.com
Steven KapturowskiDeepMindVerified email at google.com
Alex VitvitskyiDeepMindVerified email at google.com
Ignacio Francisco Ramirez PaulinoInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, UruguayVerified email at fing.edu.uy
Bilal PiotDeepMindVerified email at google.com
Zhaohan Daniel GuoDeepMindVerified email at google.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Alexander PritzelDeepmindVerified email at google.com
Gregory RandallProfesor Instituto de Ingenieria Electrica, Universidad de la RepúblicaVerified email at fing.edu.uy
Michael BronsteinDeepMind Professor of AI, University of OxfordVerified 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
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Siddhant M. JayakumarDeepMindVerified email at google.com
Sriram SubramaniamProfessor, University of British ColumbiaVerified email at ubc.ca
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Jonathan TompsonGoogleVerified email at google.com

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	911	2010
Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International Conference on Machine Learning, 3424-3433, 2017	535	2017
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	495	2016
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	421	2020
Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv:1511.05666, 2015	345	2015
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	197	2011
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	195*	2020
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	194	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	176	2008
Dictionary learning and sparse coding for unsupervised clustering P Sprechmann, G Sapiro 2010 IEEE international conference on acoustics, speech and signal …, 2010	158	2010
Sparse modeling of intrinsic correspondences J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro Computer graphics forum 32 (2pt4), 459-468, 2013	130	2013
Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... arXiv preprint arXiv:1802.10542, 2018	87	2018
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
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	66	2013
Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019	59	2019
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
Game Plan: What AI can do for Football, and What Football can do for AI K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ... Journal of Artificial Intelligence Research 71, 41-88, 2021	43	2021
Learning efficient structured sparse models A Bronstein, P Sprechmann, G Sapiro arXiv preprint arXiv:1206.4649, 2012	43	2012
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	42	2013

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