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Mario Wieser

PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging

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Dec 03, 2024
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Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing

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Aug 31, 2023
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Learning Conditional Invariance through Cycle Consistency

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Nov 25, 2021
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3DMolNet: A Generative Network for Molecular Structures

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Oct 08, 2020
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Inverse Learning of Symmetry Transformations

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Feb 07, 2020
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Learning Extremal Representations with Deep Archetypal Analysis

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Feb 03, 2020
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Deep Archetypal Analysis

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Jan 30, 2019
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Informed MCMC with Bayesian Neural Networks for Facial Image Analysis

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Nov 29, 2018
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Estimating Causal Effects With Partial Covariates For Clinical Interpretability

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Nov 26, 2018
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Cause-Effect Deep Information Bottleneck For Incomplete Covariates

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Oct 08, 2018
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