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Pascal Friederich

Global Concept Explanations for Graphs by Contrastive Learning

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Apr 25, 2024
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Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations

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Feb 02, 2024
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Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning

Oct 11, 2023
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Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI

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Jun 03, 2023
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Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies

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May 25, 2023
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Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms

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Mar 24, 2023
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Connectivity Optimized Nested Graph Networks for Crystal Structures

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Feb 27, 2023
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Actively Learning Costly Reward Functions for Reinforcement Learning

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Nov 23, 2022
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MEGAN: Multi-Explanation Graph Attention Network

Nov 23, 2022
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On scientific understanding with artificial intelligence

Apr 04, 2022
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