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Carles Domingo-Enrich

Neural Optimal Transport with Lagrangian Costs

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Jun 01, 2024
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Stochastic Optimal Control Matching

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Dec 04, 2023
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Length Generalization in Arithmetic Transformers

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Jun 27, 2023
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Open Problem: Learning with Variational Objectives on Measures

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Jun 20, 2023
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Multisample Flow Matching: Straightening Flows with Minibatch Couplings

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Apr 28, 2023
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An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow

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Feb 23, 2023
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Compress Then Test: Powerful Kernel Testing in Near-linear Time

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Jan 14, 2023
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Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis

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Jun 01, 2022
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Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence

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May 27, 2022
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Learning with Stochastic Orders

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May 27, 2022
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