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04/08/2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
We consider the problem of uncertainty quantification in high dimensiona...
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09/09/2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Bias in datasets can be very detrimental for appropriate statistical est...
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12/28/2021
Unsupervised Domain Adaptation for Constraining Star Formation Histories
The prevalent paradigm of machine learning today is to use past observat...
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12/17/2021
A Binded VAE for Inorganic Material Generation
Designing new industrial materials with desired properties can be very e...
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07/07/2021
ADAPT : Awesome Domain Adaptation Python Toolbox
ADAPT is an open-source python library providing the implementation of s...
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03/05/2021
Discrepancy-Based Active Learning for Domain Adaptation
The goal of the paper is to design active learning strategies which lead...
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06/15/2020