Thomas Gravier

I recently graduated from the Master MVA with highest honours at École Normale Supérieure Paris-Saclay, and completed my research period at the École Normale Supérieure de Paris (IBENS, ENS Ulm).
My work focused on multi-marginal Schrödinger bridges, bridging probability theory, optimal transport, and deep generative modeling.
This research led to a paper submission to ICLR 2026, extending Schrödinger bridges to high-dimensional video and biological data.

I am now seeking a PhD position — academic or CIFRE — in machine learning theory, stochastic processes, or optimal transport, where I can further explore the intersection of rigorous mathematics and generative modeling.

Beyond research, I am passionate about sailing expeditions, paragliding, and mountaineering, constantly seeking exploration and challenge both intellectually and physically.

Multi-marginal temporal Schrödinger Bridge Matching for video generation from unpaired data featured image

Multi-marginal temporal Schrödinger Bridge Matching for video generation from unpaired data

We propose Multi-Marginal temporal Schrödinger Bridge Matching (MMtSBM) for video generation from unpaired data, extending Diffusion Schrödinger Bridge Matching to multiple …

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🧠 Sharpen your thinking with a second brain

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📈 Communicate your results effectively with the best data visualizations

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👩🏼‍🏫 Teach academic courses

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