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Publications

Displaying results 591 to 600 of 15054.

  1. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinaros Passos

    LEDITS++: Limitless Image Editing using Text-to-Image Models

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024.

  2. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  3. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  4. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  5. Saurabh Mathur; Veerendra P. Gadekar; Rashika Ramola; Peixin Wang; Ramachandran Thiruvengadam; David M. Haas; Shinjini Bhatnagar; Nitya Wadhwa; Garbhini Study Group; Predrag Radivojac; Himanshu Sinha; Kristian Kersting; Sriraam Natarajan

    Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources

    In: Joseph Finkelstein; Robert Moskovitch; Enea Parimbelli (Hrsg.). Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I. Conference on Artificial Intelligence in Medicine (AIME), Pages 293-302, Lecture Notes in Computer Science, Vol. 14844, Springer, 2024.

  6. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  7. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  8. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-8, a, 2025.

  9. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-14, arXiv, 2025.

  10. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.10704, Pages 1-22, arXiv, 2025.

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