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Ari Pakman
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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
3982016
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
A Pakman, L Paninski
Journal of Computational and Graphical Statistics, 2012
2572012
Diagrams for symmetric product orbifolds
A Pakman, L Rastelli, SS Razamat
Journal of High Energy Physics 2009 (10), 034, 2009
1592009
Exact chiral ring of AdS3/CFT2
A Dabholkar, A Pakman
Advances in Theoretical and Mathematical Physics 13 (2), 409-462, 2009
1262009
Topological entanglement entropy and holography
A Pakman, A Parnachev
Journal of High Energy Physics 2008 (07), 097, 2008
992008
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
922009
A spin chain for the symmetric product CFT2
A Pakman, L Rastelli, SS Razamat
Journal of High Energy Physics 2010 (5), 1-48, 2010
912010
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
882013
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
872013
Exact N= 4 correlators of AdS3/CFT2
A Pakman, A Sever
Physics Letters B 652 (1), 60-62, 2007
792007
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
782004
Spectral flow in AdS3/CFT2
G Giribet, A Pakman, L Rastelli
Journal of High Energy Physics 2008 (06), 013, 2008
742008
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
732016
D-branes in N=2 Liouville theory and its mirror
D Israël, A Pakman, J Troost
Nuclear physics B 710 (3), 529-576, 2005
702005
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
532013
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
462003
D-branes in little string theory
D Israël, A Pakman, J Troost
Nuclear Physics B 722 (1-2), 3-64, 2005
452005
More on superstrings in AdS3×M
A Giveon, A Pakman
Journal of High Energy Physics, 056, 2003
44*2003
Stochastic Bouncy Particle Sampler
A Pakman*, D Gilboa*, D Carlson, L Paninski
ICML 2017, 2017
392017
BRST quantization of string theory in AdS3
A Pakman
Journal of High Energy Physics 2003 (06), 053, 2003
382003
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