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Publications

Displaying results 161 to 170 of 661.

  1. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.

  2. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

  3. Karl Stelzner; Robert Peharz; Kristian Kersting

    Faster Attend-Infer-Repeat with Tractable Probabilistic Models

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 5966-5975, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  4. Jonas Seng; Florian Peter Busch; Pooja Prasad; Devendra Singh Dhami; Martin Mundt; Kristian Kersting

    Scaling Probabilistic Circuits via Data Partitioning

    In: Silvia Chiappa; Sara Magliacane (Hrsg.). Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025. International Conference on Uncertainty in AI (UAI), Pages 3701-3717, Proceedings of Machine Learning Research, Vol. 286, PMLR, 2025.

  5. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, Journal of Machine Learning Research, 2025.

  6. Florian Peter Busch; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    Elucidating linear programs by neural encodings

    In: Georgios Leontidis (Hrsg.). Frontiers in Artificial Intelligence, Vol. 8, Pages 1-14, Frontiers Media SA, 6/2025.

  7. Nika Strem; Devendra Singh Dhami; Benedikt Schmidt; Kristian Kersting

    Multimodal transformer for early alarm prediction

    In: Engineering Applications of Artificial Intelligence, Vol. 139, Part B, Pages 1-11, Elsevier, 1/2025.

  8. Ho Minh Duy Nguyen; Hasan Md Tusfiqur Alam; Tai Nguyen; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag

    Deep Learning for Ophthalmology - The State-of-the-Art and Future Trends

    DFKI, DFKI Research Reports (RR), Vol. 01, 2024.

  9. Daniel Sonntag; Thiago Gouvea; Michael Barz; Aliki Anagnostopoulou; Siting Liang; Sara-Jane Bittner; Franziska Scheurer

    The Interactive Deep Learning Enterprise (No-IDLE) meets ChatGPT

    German Research Center for AI, DFKI Technical Report, 2024.

  10. Dan Hudson; Jurgen van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

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