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Publications

Displaying results 351 to 360 of 563.

  1. Jonas Seng; Pooja Prasad; Devendra Singh Dhami; Kristian Kersting

    HANF: Hyperparameter And Neural Architecture Search in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.12342, Pages 0-10, arXiv, 2022.

  2. David Steinmann; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Machines Explaining Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07194, Pages 0-10, arXiv, 2022.

  3. Xiaoting Shao; Kristian Kersting

    Gradient-based Counterfactual Explanations using Tractable Probabilistic Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2205.07774, Pages 0-10, arXiv, 2022.

  4. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  5. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  6. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

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

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

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

    Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

    In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

  9. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

    Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages 1-8, IEEE, 2023.

  10. J.M. Górriz; I. Álvarez-Illán; A. Álvarez-Marquina; J.E. Arco; M. Atzmueller; F. Ballarini; E. Barakova; G. Bologna; P. Bonomini; G. Castellanos-Dominguez; D. Castillo-Barnes; S.B. Cho; R. Contreras; J.M. Cuadra; E. Domínguez; F. Domínguez-Mateos; R.J. Duro; D. Elizondo; A. Fernández-Caballero; E. Fernandez-Jover; M.A. Formoso; N.J. Gallego-Molina; J. Gamazo; J. García González; J. Garcia-Rodriguez; C. Garre; J. Garrigós; A. Gómez-Rodellar; P. Gómez-Vilda; M. Graña; B. Guerrero-Rodriguez; S.C.F. Hendrikse; C. Jimenez-Mesa; M. Jodra-Chuan; V. Julian; G. Kotz; K. Kutt; M. Leming; J. de Lope; B. Macas; V. Marrero-Aguiar; J.J. Martinez; F.J. Martinez-Murcia; R. Martínez-Tomás; J. Mekyska; G.J. Nalepa; P. Novais; D. Orellana; A. Ortiz; D. Palacios-Alonso; J. Palma; A. Pereira; P. Pinacho-Davidson; M.A. Pinninghoff; M. Ponticorvo; A. Psarrou; J. Ramírez; M. Rincón; V. Rodellar-Biarge; I. Rodríguez-Rodríguez; P.H.M.P. Roelofsma; J. Santos; D. Salas-Gonzalez; P. Salcedo-Lagos; F. Segovia; A. Shoeibi; M. Silva; D. Simic; J. Suckling; J. Treur; A. Tsanas; R. Varela; S.H. Wang; W. Wang; Y.D. Zhang; H. Zhu; Z. Zhu; J.M. Ferrández-Vicente

    Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    In: Information Fusion, Vol. 100, Pages 1-37, Elsevier, 2023.

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