Ari Pakman

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Weighted Model Counting

Metropolis Hastings

Continuous Variables

Reinforcement Learning

Top Venues

J. Comput. Neurosci.

Publications

Yarden Cohen, Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner, Raziel Riemer, Ari Pakman
von Mises Quasi-Processes for Bayesian Circular Regression. CoRR (2024)
Ari Pakman, Dar Gilboa, Elad Schneidman
Estimating the Unique Information of Continuous Variables. CoRR (2021)
Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman
Estimating the Unique Information of Continuous Variables. NeurIPS (2021)
Dar Gilboa, Ari Pakman, Thibault Vatter
Marginalizable Density Models. CoRR (2021)
Ari Pakman, Yueqi Wang, Catalin Mitelut, Jin Hyung Lee, Liam Paninski
Neural Clustering Processes. ICML (2020)
Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski
Attentive Clustering Processes. CoRR (2020)
Ari Pakman, Yueqi Wang, Liam Paninski
Neural Permutation Processes. AABI (2019)
Ari Pakman, Liam Paninski
Discrete Neural Processes. CoRR (2019)
Ari Pakman, Liam Paninski
Amortized Bayesian inference for clustering models. CoRR (2018)
Ari Pakman, Dar Gilboa, David E. Carlson, Liam Paninski
Stochastic Bouncy Particle Sampler. ICML (2017)
Roy Fox, Ari Pakman, Naftali Tishby
Taming the Noise in Reinforcement Learning via Soft Updates. UAI (2016)
David E. Carlson, Patrick Stinson, Ari Pakman, Liam Paninski
Partition Functions from Rao-Blackwellized Tempered Sampling. ICML (2016)
Roy Fox, Ari Pakman, Naftali Tishby
G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. CoRR (2015)
Ari Pakman, Jonathan Hunter Huggins, Carl Smith, Liam Paninski
Fast state-space methods for inferring dendritic synaptic connectivity. J. Comput. Neurosci. 36 (3) (2014)
Ari Pakman, Liam Paninski
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions. NIPS (2013)
Benjamin Shababo, Brooks Paige, Ari Pakman, Liam Paninski
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits. NIPS (2013)
Eftychios A. Pnevmatikakis, Josh Merel, Ari Pakman, Liam Paninski
Bayesian spike inference from calcium imaging data. ACSSC (2013)