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Just a short post on past and current research. You can find a complete list of my publications below.

Publications and Preprints

2018 Universal Marginalizer for Amortised Inference and Embedding of Generative Models, with R. Walecki, A. Buchard, et al. Submitted to AISTATS. arXiv: 1811.04727

2017 A Universal Marginalizer for Amortized Inference in Generative Models, NeurIPS workshop on Advances in Approximate Bayesian Inference, 2017, with L. Douglas, I. Zarov, et al. arXiv: 1711.00695.

2017 Information criteria for quantifying loss of reversibility in parallelized KMC, with M. Katsoulakis, L. Rey-Bellet. Accepted at the Journal of Computational Physics 328, 438-454.

2017 How biased is your model? Concentration Inequalities, Information and Model Bias, with M. Katsoulakis, L. Rey-Bellet and J. Wang. Submitted for review at the IEEE Transactions on Information Theory.

2016 Information metrics for long-time errors in splitting schemes for stochastic dynamics and parallel Kinetic Monte Carlo, with M. Katsoulakis and L. Rey-Bellet. Accepted at the SIAM Journal on Scientific Computing 38 (6), A3808-A3832.

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