Ari Pakman

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Liam PaninskiColumbia UniversityVerified email at stat.columbia.edu
Jan TroostCNRS, Ecole Normale Supérieure, Paris, Directeur de RechercheVerified email at ens.fr
Leonardo RastelliYITP, Stony Brook UniversityVerified email at stonybrook.edu
Shlomo S. RazamatTechnionVerified email at physics.technion.ac.il
Sunil MukhiIISER PuneVerified email at iiserpune.ac.in
Yueqi WangGoogleVerified email at google.com
Dar GilboaGoogleVerified email at google.com
Roy FoxAssistant Professor, UC IrvineVerified email at uci.edu
Eftychios A. PnevmatikakisMeta Reality LabsVerified email at flatironinstitute.org
Mariano Ignacio GabittoAllen Institute for Brain SciencesVerified email at alleninstitute.org
Ben ShababoComputational Neuroscientist, Science CorporationVerified email at science.xyz
David E. CarlsonAssistant Professor, Duke UniversityVerified email at duke.edu
Catalin MitelutUniversity of Basel; NYUVerified email at alumni.ubc.ca
Fidel A. SchaposnikDepartamento de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, ArgentinaVerified email at fisica.unlp.edu.ar
Nicolas GrandiIFLP-Conicet, Departamento de Física-UNLPVerified email at fisica.unlp.edu.ar
Andrei ParnachevTrinity College DublinVerified email at maths.tcd.ie
Josh MerelMeta Reality LabsVerified email at google.com
Gaston GiribetNew York UniversityVerified email at nyu.edu
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu
Jay BikoffAssistant Member, St. Jude Children's Research HospitalVerified email at stjude.org

Ari Pakman

Ben-Gurion University

Verified email at bgu.ac.il - Homepage

Machine Learning Statistics Physics Neuroscience


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FZZ algebra A Mukherjee, S Mukhi, A Pakman Journal of High Energy Physics 2007 (01), 025, 2007	667	2007
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	323	2016
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians A Pakman, L Paninski Journal of Computational and Graphical Statistics, 2012	232	2012
Diagrams for symmetric product orbifolds A Pakman, L Rastelli, SS Razamat Journal of High Energy Physics 2009 (10), 034, 2009	130	2009
Exact chiral ring of AdS₃/CFT₂ A Dabholkar, A Pakman Advances in Theoretical and Mathematical Physics 13 (2), 409-462, 2009	119	2009
Topological entanglement entropy and holography A Pakman, A Parnachev Journal of High Energy Physics 2008 (07), 097, 2008	97	2008
Extremal correlators and Hurwitz numbers in symmetric product orbifolds A Pakman, L Rastelli, SS Razamat Physical Review D 80 (8), 086009, 2009	84	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	82	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	80	2010
Exact N= 4 correlators of AdS3/CFT2 A Pakman, A Sever Physics Letters B 652 (1), 60-62, 2007	78	2007
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	77	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	76	2004
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
Spectral flow in AdS3/CFT2 G Giribet, A Pakman, L Rastelli Journal of High Energy Physics 2008 (06), 013, 2008	67	2008
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	62	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	49	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
Extended SL (2, R)/U (1) characters, or modular properties of a simple non-rational conformal field theory D Israël, A Pakman, J Troost Journal of High Energy Physics 2004 (04), 043, 2004	37	2004

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