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Publications

Displaying results 521 to 530 of 3902.

  1. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.

  2. Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Patrick Schramowski; Kristian Kersting

    SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.07122, Pages 1-11, arXiv, 2024.

  3. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.05791, Pages 1-26, arXiv, 2024.

  4. Antonia Wüst; Tim Woydt; Lukas Helff; Devendra Singh Dhami; Constantin A. Rothkopf; Kristian Kersting

    Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.19546, Pages 1-25, arXiv, 2024.

  5. Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting

    xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.16928, Pages 1-16, arXiv, 2024.

  6. Nils Grandien; Quentin Delfosse; Kristian Kersting

    Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.14371, Pages 1-19, arXiv, 2024.

  7. Moritz Willig; Tim Nelson Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting

    Systems with Switching Causal Relations: A Meta-Causal Perspective

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.13054, Pages 1-21, arXiv, 2024.

  8. Hikaru Shindo; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting

    BlendRL: A Framework for Merging Symbolic and Neural Policy Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.11689, Pages 1-32, arXiv, 2024.

  9. Pratyush Agnihotri; Carsten Binnig

    Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Volker Markl; Joseph M. Hellerstein; Azza Abouzied (Hrsg.). Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 7-10, ACM, 2025.

  10. Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig

    GRACEFUL: A Learned Cost Estimator for UDFs

    In: 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025. IEEE International Conference on Data Engineering (ICDE), Pages 2450-2463, IEEE, 2025.

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