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Displaying results 21 to 30 of 161.

  1. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  2. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 …

  3. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  4. Ihab Alzalam; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    5G Network Traffic Forecast Interface (5G-NTFI): An Open Source Framework Design for Reproducibility and Replicability

    In: European Wireless 2024. European Wireless (EW-2024), September 9-11, Brno, Czech Republic, IEEE, 2024.

  5. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  6. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  7. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on …

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.

  9. Lukas Sommer; Julian Oppermann; Alejandro Molina; Carsten Binnig; Kristian Kersting; Andreas Koch

    Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators

    In: 36th IEEE International Conference on Computer Design. IEEE International Conference on Computer Design (ICCD-2018), October 7-10, Orlando, FL, …

  10. Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

    Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on …

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