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Nicolas Boullé

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods

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Feb 03, 2025
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Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem

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Nov 30, 2024
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Density estimation with LLMs: a geometric investigation of in-context learning trajectories

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Oct 07, 2024
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Large Language Models as Markov Chains

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Oct 03, 2024
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Lines of Thought in Large Language Models

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Oct 02, 2024
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Structure-Preserving Operator Learning

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Oct 01, 2024
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Multiplicative Dynamic Mode Decomposition

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May 08, 2024
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LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law

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Feb 01, 2024
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Operator learning without the adjoint

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Jan 31, 2024
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On the Convergence of Hermitian Dynamic Mode Decomposition

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Jan 06, 2024
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