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20162021
most citedA Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

40 citations · 227 across the 15 of their papers we have counts for

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stat.ML2016★ 19 cited

Poisson Random Fields for Dynamic Feature Models

Valerio Perrone, Paul A. Jenkins, Dario Spano +1

We present the Wright-Fisher Indian buffet process (WF-IBP), a probabilistic model for time-dependent data assumed to have been generated by an unknown number of latent features. T…

stat.ML2016★ 7 cited

Relativistic Monte Carlo

Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever +2

Hamiltonian Monte Carlo (HMC) is a popular Markov chain Monte Carlo (MCMC) algorithm that generates proposals for a Metropolis-Hastings algorithm by simulating the dynamics of a Ha…