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Matching Algorithms for High-Dimensional Stochastic Optimal Control

Published in In Preparation, 2025

Developing algorithms for high-dimensional stochastic optimal control connecting flow matching, score-based models, and mean field games.

Recommended citation: R. Leburu, L. Nurbekyan, L. Ruthotto, & G. Zhang. (in preparation). "Matching Algorithms for High-Dimensional Stochastic Optimal Control."

Variational Sparse Paired Autoencoders for Inverse Problems

Published in In Preparation, 2025

Developing variational sparse paired autoencoders for solving inverse problems.

Recommended citation: J. Solomon, R. Leburu, M. Li, & M. Chung. (in preparation). "Variational Sparse Paired Autoencoders for Inverse Problems."

Differentiating through Stochastic Differential Equations: A Primer

Published in arXiv preprint, 2026

A tutorial-style paper on differentiating through SDEs, making these tools more accessible to the research community.

Recommended citation: R. Leburu, L. Nurbekyan, & L. Ruthotto. (2026). "Differentiating through Stochastic Differential Equations: A Primer." arXiv:2601.08594
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Enhancing Variational Autoencoders with Conditional Normalizing Flows

Published: January 01, 2025

Presented research on methods to enhance variational autoencoders using conditional normalizing flows on the posterior, conducted during Emory’s Computational Mathematics for Data Science REU under Dr. Deepanshu Verma.