Skip to main content Skip to main navigation

Publications

Displaying results 1581 to 1590 of 15031.

  1. Andreas Emrich; Jan Gronewald; Michael Frey; Anna K. Hildebrandt; Andreas Hildebrandt; Peter Loos

    Understanding Agentic Systems as Business Processes: A Vision for Process-Driven GenAI Engineering

    In: Tobias Greff; Peter Pfeiffer (Hrsg.). Joint Proceedings of the WI 2025 Workshops Regulation of AI Systems and Gen AI for Business Process Management. Internationale Tagung Wirtschaftsinformatik (WI-2025), Workshop on Gen AI for Business Process Management, located at WI-2025, September 13-17, Münster, Germany, CEUR Workshops, 2025.

  2. Maxim Majlatow; Fahim Ahmed Shakil; Andreas Emrich; Nijat Mehdiyev

    Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction

    In: Rui Araújo; Jia-Lien Hsu (Hrsg.). Applied Sciences, Vol. 15, No. 14, Pages 1-42, MDPI, 2025.

  3. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

  4. Zihan Ye; Oleg Arenz; Kristian Kersting

    Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.11661, Pages 1-23, Computing Research Repository, 2025.

  5. Elisabeth Dillies; Quentin Delfosse; Jannis Blüml; Raban Emunds; Florian Peter Busch; Kristian Kersting

    Better Decisions through the Right Causal World Model

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.07257, Pages 1-5, Computing Research Repository, 2025.

  6. Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting

    Deep Reinforcement Learning via Object-Centric Attention

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.03024, Pages 1-39, Computing Research Repository, 2025.

  7. Indraneil Paul; Haoyi Yang; Goran Glavas; Kristian Kersting; Iryna Gurevych

    ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.00019, Pages 1-39, Computing Research Repository, 2025.

  8. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08141, Pages 1-15, Computing Research Repository, 2025.

  9. Nicholas Tagliapietra; Juergen Luettin; Lavdim Halilaj; Moritz Willig; Tim Pychynski; Kristian Kersting

    CausalMan: A physics-based simulator for large-scale causality

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.12707, Pages 1-32, Computing Research Repository, 2025.

  10. Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; Vincenzo Lomonaco; Subarnaduti Paul; Francesca Pistilli; Tinne Tuytelaars; Gido M. van de Ven; Kristian Kersting; Simone Schaub-Meyer; Martin Mundt

    Continual Learning Should Move Beyond Incremental Classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11927, Pages 1-11, Computing Research Repository, 2025.

Year

More options