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Publications

Displaying results 2191 to 2200 of 14429.

  1. Jonas Seng; Fabian Kalter; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting

    In: Katharina Eggensperger; Roman Garnett; Joaquin Vanschoren; Marius Lindauer; Jacob R. Gardner (Hrsg.). International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France. International Conference on Machine Learning (ICML), Pages 10/1-20, Proceedings of Machine Learning Research, Vol. 256, PMLR, 2024.

  2. Fei Chen; Sunita Saha; Manuela Schuler; Philipp Slusallek; Tim Dahmen

    im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach

    In: Proceedings of the ACM on Programming Languages. International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA-2025), October 12-18, Singapore, Pages 248-273, Vol. 9, No. OOPSLA2, Association for Computing Machinery, New York, NY, USA, 10/2025.

  3. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  4. Dominik Hintersdorf; Lukas Struppek; Daniel Neider; Kristian Kersting

    Defending Our Privacy with Backdoors

    In: ECAI 2024. European Conference on Artificial Intelligence (ECAI-2024), 27th European Conference on Artificial Intelligence, October 19-24, Santiago de Compostela, Spain, Vol. 392, ISBN 978-1-64368-548-9, IOS Press, 10/2024.

  5. 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.

  6. 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.

  7. 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.

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

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  9. 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.

  10. 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.

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