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Publications

Displaying results 1901 to 1910 of 14648.

  1. Lukas Struppek; Martin B. Hentschel; Clifton Poth; Dominik Hintersdorf; Kristian Kersting

    Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.06372, Pages 1-12, arXiv, 2023.

  2. Manuel Brack; Patrick Schramowski; Kristian Kersting

    Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2309.11575, Pages 2-5, arXiv, 2023.

  3. Yuhan Jin; Haider Khan Lodhi; Fabian Maas genannt Bermpohl; Pierre Willenbrock; Christoph Hertzberg; Steffen Planthaber; Babu Ajish; Daniel Kuehn; Frank Kirchner

    Beyond Teleoperation: Autonomous-Assisted Soil Sampling for Decontamination in Hazardous Environments Using a Walking Excavator

    In: 2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR). IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR-2025), October 29-31, Galway, Ireland, IEEE, New York, NY, USA, 10/2025.

  4. Mirwaes Wahabzada; Kristian Kersting; Christian Bauckhage; Christoph Römer; Agim Ballvora; Francisco Pinto; Uwe Rascher; Jens Leon; Lutz Ploemer

    Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

    In: Nando de Freitas; Kevin P. Murphy (Hrsg.). Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2012), August 14-18, Catalina Island, CA, USA, Pages 852-862, AUAI Press, 2012.

  5. Christian Thurau; Kristian Kersting; Christian Bauckhage

    Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study

    In: Proceedings of the Twelfth SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2012), April 26-28, Anaheim, CA, USA, Pages 684-695, ISBN 978-1-61197-232-0, SIAM / Omnipress, 2012.

  6. Kristian Kersting; Mirwaes Wahabzada; Christoph Römer; Christian Thurau; Agim Ballvora; Uwe Rascher; Jens Leon; Christian Bauckhage; Lutz Plümer

    Simplex Distributions for Embedding Data Matrices over Time

    In: Proceedings of the Twelfth SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2012), April 26-28, Anaheim, CA, USA, Pages 295-306, ISBN 978-1-61197-232-0, SIAM / Omnipress, 2012.

  7. Kristian Kersting; Christian Bauckhage; Christian Thurau; Mirwaes Wahabzada

    Matrix Factorization as Search

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 850-853, Lecture Notes in Computer Science, Vol. 7524, Springer, 2012.

  8. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    Lifted Online Training of Relational Models with Stochastic Gradient Methods

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 585-600, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  9. Marion Neumann; Novi Patricia; Roman Garnett; Kristian Kersting

    Efficient Graph Kernels by Randomization

    In: Peter A. Flach; Tijl De Bie; Nello Cristianini (Hrsg.). Machine Learning and Knowledge Discovery in Databases - European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2012), September 24-28, Bristol, United Kingdom, Pages 378-393, Lecture Notes in Computer Science, Vol. 7523, Springer, 2012.

  10. Zahra Zamani; Scott Sanner; Pascal Poupart; Kristian Kersting

    Symbolic Dynamic Programming for Continuous State and Observation POMDPs

    In: Peter L. Bartlett; Fernando C. N. Pereira; Christopher J. C. Burges; Léon Bottou; Kilian Q. Weinberger (Hrsg.). Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Neural Information Processing Systems (NeurIPS-2012), December 3-6, Lake Tahoe, Nevada, USA, Pages 1403-1411, Curran Associates, Inc. 2012.

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