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Edward Meeds

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires

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Apr 26, 2023
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Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations

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Feb 25, 2022
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Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems

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May 28, 2019
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Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks

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Oct 09, 2018
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Soft Weight-Sharing for Neural Network Compression

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May 09, 2017
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Automatic Variational ABC

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Jun 28, 2016
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Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference

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Dec 02, 2015
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MLitB: Machine Learning in the Browser

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Jun 17, 2015
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Hamiltonian ABC

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Mar 06, 2015
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POPE: Post Optimization Posterior Evaluation of Likelihood Free Models

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Dec 09, 2014
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