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Takeshi Teshima

Universal approximation property of invertible neural networks

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Apr 15, 2022
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Rethinking Importance Weighting for Transfer Learning

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Dec 19, 2021
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Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation

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Feb 27, 2021
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Universal Approximation Property of Neural Ordinary Differential Equations

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Dec 04, 2020
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Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators

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Jun 20, 2020
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Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

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Jun 15, 2020
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$γ$-ABC: Outlier-Robust Approximate Bayesian Computation based on Robust Divergence Estimator

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Jun 13, 2020
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Few-shot Domain Adaptation by Causal Mechanism Transfer

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Feb 10, 2020
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Clipped Matrix Completion: a Remedy for Ceiling Effects

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Sep 13, 2018
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