publications

Below is a selected list. See full list at google scholar

2021

  1. AAS
    A Bayesian nonparametric approach to super-resolution single-molecule localization
    M. Gabitto, H. Marie-Nelly, A. Pakman, A. Pataki, X. Darzacq, and M Jordan
    The Annals of Applied Statistics, 2021
  2. NeurIPS
    Estimating the unique information of continuous variables
    A. Pakman, A. Nejatbakhsh, D. Gilboa, A. Makkeh, L. Mazzucato, M. Wibral, and E. Schneidman
    Advances in Neural Information Processing Systems, 2021

2020

  1. ICML
    Neural clustering processes
    A. Pakman, Y. Wang, C. Mitelut, J. Lee, and L. Paninski
    In International Conference on Machine Learning, 2020
    Code

2017

  1. ICML
    Stochastic bouncy particle sampler
    A. Pakman, D. Gilboa, D. Carlson, and L. Paninski
    In International Conference on Machine Learning, 2017

2016

  1. UAI
    Taming the noise in reinforcement learning via soft updates
    R. Fox*, A. Pakman*, and N. Tishby
    In Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
  2. ICML
    Partition functions from Rao-Blackwellized tempered sampling
    D. Carlson*, P. Stinson*, A. Pakman*, and Liam Paninski
    In International Conference on Machine Learning, 2016

2013

  1. NeurIPS
    Auxiliary-variable exact Hamiltonian Monte Carlo samplers for binary distributions
    A. Pakman, and L. Paninski
    Advances in neural information processing systems, 2013