Work

Papers
Likelihood-free MCMC using Approximate Likelihood Ratios (2019)
Simulating Data Access Profiles of Computational Jobs in Data Grids (2019)
Adversarial Variational Optimization of Non-Differentiable Simulators (2018)
Gradient Energy Matching for Distributed Asynchronous Gradient Descent (2018)
Accumulated Gradient Normalization (2017)

Talks
FFJORD: Free-from Continuous Dynamics for Scalable Reversible Generative Models (2019, INFO8004: Advanced Machine Learing
Likelihood-free MCMC (2019, PhD M'eating, ULg)

Software
Hypothesis (2019)
Warpdrive (2016)
Distributed Keras (2016)
Hadoop profiler (2016)