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09/18/2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
Tabular data is hard to acquire and is subject to missing values. This p...
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07/07/2023
Simulation-free Schrödinger bridges via score and flow matching
We present simulation-free score and flow matching ([SF]^2M), a simulati...
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06/20/2023
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Understanding the optimization dynamics of neural networks is necessary ...
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06/12/2023
Unbalanced Optimal Transport meets Sliced-Wasserstein
Optimal transport (OT) has emerged as a powerful framework to compare pr...
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04/12/2023
Diffusion models with location-scale noise
Diffusion Models (DMs) are powerful generative models that add Gaussian ...
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04/06/2023
PopulAtion Parameter Averaging (PAPA)
Ensemble methods combine the predictions of multiple models to improve p...
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02/01/2023
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
Continuous normalizing flows (CNFs) are an attractive generative modelin...
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10/03/2022
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Unsupervised Domain Adaptation (UDA) aims at classifying unlabeled targe...
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06/23/2022
On making optimal transport robust to all outliers
Optimal transport (OT) is known to be sensitive against outliers because...
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06/22/2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation
It is common in computer vision to be confronted with domain shift: imag...
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03/05/2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Optimal transport distances have found many applications in machine lear...
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01/05/2021
Minibatch optimal transport distances; analysis and applications
Optimal transport distances have become a classic tool to compare probab...
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01/27/2020
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Adversarial examples are a hot topic due to their abilities to fool a cl...
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10/09/2019
Learning with minibatch Wasserstein : asymptotic and gradient properties
Optimal transport distances are powerful tools to compare probability di...
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04/08/2019
