Pablo Sprechmann

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Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Engineer, Health AI Lead, Apple.Verified email at princeton.edu
Charles BlundellResearch Scientist at DeepMindVerified email at google.com
Steven KapturowskiDeepMindVerified email at google.com
Adrià Puigdomènech BadiaDeepMindVerified email at google.com
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionVerified email at technion.ac.il
Bilal PiotGoogle DeepmindVerified email at google.com
Alex VitvitskyiDeepMindVerified email at google.com
Zhaohan Daniel GuoDeepMindVerified email at google.com
Ignacio Francisco Ramirez PaulinoInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, UruguayVerified email at fing.edu.uy
Alexander PritzelDeepmindVerified email at google.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Joan BrunaFull Professor of Computer Science, Data Science & Mathematics (aff), Courant Institute and CDS, NYUVerified email at cims.nyu.edu
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAVerified email at cs.ox.ac.uk
Gregory RandallProfesor Instituto de Ingenieria Electrica, Universidad de la RepúblicaVerified email at fing.edu.uy
Alberto Bartesaghi, PhDDuke UniversityVerified email at duke.edu
Sriram SubramaniamProfessor, University of British ColumbiaVerified email at ubc.ca
Jonathan TompsonGoogleVerified email at google.com
Kristofer SchlachterNYUVerified email at cs.nyu.edu
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Michael MathieuDeepMindVerified email at google.com

Pablo Sprechmann

Research Scientist at Google DeepMind

Verified email at google.com


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Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023	1548	2023
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	955	2010
Accelerating eulerian fluid simulation with convolutional networks J Tompson, K Schlachter, P Sprechmann, K Perlin International conference on machine learning, 3424-3433, 2017	684	2017
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	682	2020
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	563	2016
Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv:1511.05666, 2015	416	2015
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	355*	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	220	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	208	2011
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	196	2008
Dictionary learning and sparse coding for unsupervised clustering P Sprechmann, G Sapiro 2010 IEEE international conference on acoustics, speech and signal …, 2010	164	2010
Sparse modeling of intrinsic correspondences J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro Computer graphics forum 32 (2pt4), 459-468, 2013	131	2013
Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... arXiv preprint arXiv:1802.10542, 2018	114	2018
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	101	2021
Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019	96	2019
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	79	2013
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. P Sprechmann, AM Bronstein, G Sapiro ISMIR, 67-72, 2012	73	2012
Quantifying risk for anxiety disorders in preschool children: a machine learning approach KLH Carpenter, P Sprechmann, R Calderbank, G Sapiro, HL Egger PloS one 11 (11), e0165524, 2016	58	2016
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	54	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	51	2014

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