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Publications

Displaying results 1161 to 1170 of 14767.

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

    Attributions Beyond Neural Networks: The Linear Program Case

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07203, Pages 0-10, arXiv, 2022.

  2. Salahedine Youssef; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Towards a Solution to Bongard Problems: A Causal Approach

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07196, Pages 0-10, arXiv, 2022.

  3. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07195, Pages 0-10, arXiv, 2022.

  4. 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.

  5. 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.

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

    Finding Structure and Causality in Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.15274, Pages 0-10, arXiv, 2022.

  7. 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.

  8. 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.

  9. 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.

  10. Daan Fierens; Kristian Kersting; Jesse Davis; Jian Chen; Martin Mladenov

    Pairwise Markov Logic

    In: Fabrizio Riguzzi; Filip Zelezný (Hrsg.). Inductive Logic Programming - 22nd International Conference. International Conference on Inductive Logic Programming (ILP-2012), September 17-19, Dubrovnik, Croatia, Pages 58-73, Lecture Notes in Computer Science, Vol. 7842, Springer, 2012.

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