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04/12/2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Explainable AI has become a popular tool for validating machine learning...
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05/23/2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Traditionally anomaly detection (AD) is treated as an unsupervised probl...
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09/10/2021
Inverse design of 3d molecular structures with conditional generative neural networks
The rational design of molecules with desired properties is a long-stand...
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06/09/2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
Domain shifts in the training data are common in practical applications ...
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05/01/2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
In recent years, machine-learned force fields (ML-FFs) have gained incre...
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07/03/2020
Explainable Deep One-Class Classification
Deep one-class classification variants for anomaly detection learn a map...
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03/17/2020
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
With the broader and highly successful usage of machine learning in indu...
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12/22/2019
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed
Today's machine learning models for computer vision are typically traine...
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11/07/2019
Machine learning for molecular simulation
Machine learning (ML) is transforming all areas of science. The complex ...
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06/18/2019
From Clustering to Cluster Explanations via Neural Networks
A wealth of algorithms have been developed to extract natural cluster st...
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06/06/2019
Deep Semi-Supervised Anomaly Detection
Deep approaches to anomaly detection have recently shown promising resul...
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07/09/2018
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals
Interpretability of deep neural networks is a recently emerging area of ...
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08/25/2017
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Recently, deep neural networks have demonstrated excellent performances ...
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07/17/2017
