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Publications

Displaying results 1881 to 1890 of 15138.
  1. Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    (chi)SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.07545, Pages 1-17, arXiv, 2024.

  2. Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19223, Pages 1-23, arXiv, 2024.

  3. Adrian Lutsch; Muhammad El-Hindi; Zsolt István; Carsten Binnig

    Towards High-performance and Trusted Cloud DBMSs

    In: Datenbank-Spektrum (Spektrum), Vol. 25, No. 1, Pages 39-50, Springer, 2025.

  4. Chandan Jha; Sumit Kumar Jha; Ulf Schlichtmann; Rolf Drechsler

    Formal Verification Techniques and Reliability Methods for RRAM-based Computing-in-Memory

    In: 38th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), October 21-23, Barcelona, Spain, IEEE, 2025.

  5. Novi Quadrianto; Kristian Kersting; Tinne Tuytelaars; Wray L. Buntine

    Beyond 2D-grids: a dependence maximization view on image browsing

    In: James Ze Wang; Nozha Boujemaa; Nuria Oliver Ramirez; Apostol Natsev (Hrsg.). Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval. ACM International Conference on Multimedia Information Retrieval (MIR-2010), March 29-31, Philadelphia, Pennsylvania, USA, Pages 339-348, ACM, 2010.

  6. Jens Behley; Kristian Kersting; Dirk Schulz; Volker Steinhage; Armin B. Cremers

    Learning to hash logistic regression for fast 3D scan point classification

    In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2010), October 18-22, Taipei, Taiwan, Province of China, Pages 5960-5965, IEEE, 2010.

  7. Sriraam Natarajan; Gautam Kunapuli; Kshitij Judah; Prasad Tadepalli; Kristian Kersting; Jude W. Shavlik

    Multi-Agent Inverse Reinforcement Learning

    In: Sorin Draghici; Taghi M. Khoshgoftaar; Vasile Palade; Witold Pedrycz; M. Arif Wani; Xingquan Zhu (Hrsg.). The Ninth International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2010), December 12-14, USA, Pages 395-400, IEEE Computer Society, 2010.

  8. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.