Ari Pakman 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	2227	1124
h 指数	24	17
i10 指数	31	18

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Liam PaninskiColumbia University在 stat.columbia.edu 的电子邮件经过验证
Jan TroostCNRS, Ecole Normale Supérieure, Paris, Directeur de Recherche在 ens.fr 的电子邮件经过验证
Dan IsraelLPTHE, Sorbonne Universite在 lpthe.jussieu.fr 的电子邮件经过验证
Leonardo RastelliYITP, Stony Brook University在 stonybrook.edu 的电子邮件经过验证
Shlomo S. RazamatTechnion在 physics.technion.ac.il 的电子邮件经过验证
Yueqi WangGoogle在 google.com 的电子邮件经过验证
Roy FoxAssistant Professor, UC Irvine在 uci.edu 的电子邮件经过验证
Dar GilboaGoogle在 google.com 的电子邮件经过验证
Eftychios A. PnevmatikakisMeta Reality Labs在 flatironinstitute.org 的电子邮件经过验证
Mariano Ignacio GabittoAllen Institute for Brain Sciences在 alleninstitute.org 的电子邮件经过验证
Ben ShababoComputational Neuroscientist, Science Corporation在 science.xyz 的电子邮件经过验证
David E. CarlsonAssistant Professor, Duke University在 duke.edu 的电子邮件经过验证
Catalin MitelutUniversity of Basel; NYU在 alumni.ubc.ca 的电子邮件经过验证
Fidel A. SchaposnikDepartamento de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Argentina在 fisica.unlp.edu.ar 的电子邮件经过验证
Nicolas GrandiIFLP-Conicet, Departamento de Física-UNLP在 fisica.unlp.edu.ar 的电子邮件经过验证
Andrei ParnachevTrinity College Dublin在 maths.tcd.ie 的电子邮件经过验证
Josh Merel在 google.com 的电子邮件经过验证
Gaston GiribetNew York University在 nyu.edu 的电子邮件经过验证
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear Accelerator在 columbia.edu 的电子邮件经过验证
Jay BikoffAssistant Member, St. Jude Children's Research Hospital在 stjude.org 的电子邮件经过验证

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Ari Pakman

Ben-Gurion University

在 bgu.ac.il 的电子邮件经过验证 - 首页

Machine Learning Statistics Physics Neuroscience


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Taming the Noise in Reinforcement Learning via Soft Updates R Fox, A Pakman, N Tishby 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016	365	2016
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians A Pakman, L Paninski Journal of Computational and Graphical Statistics, 2012	247	2012
Diagrams for symmetric product orbifolds A Pakman, L Rastelli, SS Razamat Journal of High Energy Physics 2009 (10), 034, 2009	145	2009
Exact chiral ring of AdS₃/CFT₂ A Dabholkar, A Pakman	119	2009
Topological entanglement entropy and holography A Pakman, A Parnachev Journal of High Energy Physics 2008 (07), 097, 2008	99	2008
Extremal correlators and Hurwitz numbers in symmetric product orbifolds A Pakman, L Rastelli, SS Razamat Physical Review D—Particles, Fields, Gravitation, and Cosmology 80 (8), 086009, 2009	90	2009
Auxiliary-variable exact Hamiltonian Monte Carlo samplers for binary distributions A Pakman, L Paninski Advances in Neural Information Processing Systems (NIPS) 26, 2490–2498, 2013	84	2013
A spin chain for the symmetric product CFT2 A Pakman, L Rastelli, SS Razamat Journal of High Energy Physics 2010 (5), 1-48, 2010	83	2010
Bayesian spike inference from calcium imaging data EA Pnevmatikakis, J Merel, A Pakman, L Paninski 2013 Asilomar Conference on Signals, Systems and Computers, 349-353, 2013	81	2013
The partition function of the supersymmetric two-dimensional black hole and little string theory D Israël, C Kounnas, A Pakman, J Troost Journal of High Energy Physics 2004 (06), 033, 2004	78	2004
Exact N= 4 correlators of AdS3/CFT2 A Pakman, A Sever Physics Letters B 652 (1), 60-62, 2007	76	2007
Spectral flow in AdS3/CFT2 G Giribet, A Pakman, L Rastelli Journal of High Energy Physics 2008 (06), 013, 2008	69	2008
D-branes in N=2 Liouville theory and its mirror D Israël, A Pakman, J Troost Nuclear physics B 710 (3), 529-576, 2005	69	2005
Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons MI Gabitto, A Pakman, JB Bikoff*, LF Abbott, TM Jessell, L Paninski Cell, 2016	68	2016
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits B Shababo, B Paige, A Pakman, L Paninski Advances in Neural Information Processing Systems 26, 1304-1312, 2013	51	2013
Type 0 strings in a 2-d black hole A Giveon, A Konechny, A Pakman, A Sever Journal of High Energy Physics 2003 (10), 025, 2003	46	2003
D-branes in little string theory D Israël, A Pakman, J Troost Nuclear Physics B 722 (1-2), 3-64, 2005	44	2005
More on superstrings in AdS3×M A Giveon, A Pakman Journal of High Energy Physics, 056, 2003	43*	2003
BRST quantization of string theory in AdS3 A Pakman Journal of High Energy Physics 2003 (06), 053, 2003	38	2003
Stochastic Bouncy Particle Sampler A Pakman, D Gilboa, D Carlson, L Paninski ICML 2017, 2017	37	2017

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