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Stefan Kramer

Human Guided Learning of Transparent Regression Models

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Feb 21, 2025
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Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks

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Feb 19, 2025
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Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams

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Nov 07, 2024
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Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering

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Sep 01, 2024
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10 Years of Fair Representations: Challenges and Opportunities

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Jul 04, 2024
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Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown

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Feb 13, 2024
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Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

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Dec 15, 2023
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Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems

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May 03, 2023
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Neural RELAGGS

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Nov 04, 2022
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A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction

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Aug 31, 2022
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