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A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Explainable Inference Over Grounding-Abstract Chains for Science Questions, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021
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Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, Christos Theodoropoulos, James Henderson, Andrei Catalin Coman and Marie-Francine Moens, in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021
Tracking Articulators in X-ray Movies of the Vocal Tract, Georg Thimm, in: 8th Int. Conf. Computer Analysis of Images and Patterns, Springer Verlag, 1999
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Optimization of high order perceptrons, Georg Thimm, École Polytechnique Fédérale de Lausanne, 1997
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Evaluating the Complexity of Databases for Person Identification and Verification, Georg Thimm, Souheil Ben-Yacoub and Juergen Luettin, in: 8th Int. Conf. Computer Analysis of Images and Patterns, Springer Verlag, 1999
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High Order and Multilayer Perceptron Initialization, Georg Thimm and Emile Fiesler, in: IEEE Transactions on Neural Networks, 8(02), 1997
Two neural network construction methods, Georg Thimm and Emile Fiesler, in: Neural Processing Letters, 6(01), 1997
A Boolean Approach to Construct Neural Networks for Non-Boolean Problems, Georg Thimm and Emile Fiesler, in: Proceedings of the 8th IEEE International Conference on Tools with Artificial Intelligence, IEEE, 1996
Evaluating pruning methods, Georg Thimm and Emile Fiesler, in: 1995 International Symposium on Artificial Neural Networks (ISANN'95), 1995
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Weight Initialization for High Order and Multilayer Perceptrons, Georg Thimm and Emile Fiesler, in: Proceedings of the '94 SIPAR--Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994
Neural Network Pruning and Pruning Parameters, Georg Thimm and Emile Fiesler, in: The 1st Workshop on Soft Computing, Dept. of Information Electronics Nagoya University, 1996
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Neural Network Initialization, Georg Thimm and Emile Fiesler, in: From Natural to Artificial Neural Computation, Springer Verlag, 1995
Gain Elimination form Backpropagation Neural Networks, Georg Thimm, Emile Fiesler and Perry Moerland, in: Proceedings of the International Conference on Neural Networks, IEEE, Perth, IEEE, 1995
Modular Object-Oriented Neural Network Simulators and Topology Generalizations, Georg Thimm, R. Grau and Emile Fiesler, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN 94), Sorrento, Italy, Springer-Verlag, 1994
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Zeolite cycle sequences, Georg Thimm and W. E. Klee, in: Zeolites, 19, 1997
Extraction of Articulators in X-Ray Image Sequences, Georg Thimm and Juergen Luettin, in: Proceedings of the European Conference on Speech Communication and Technology, 1999
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Illumination-robust Pattern Matching Using Distorted Color Histograms, Georg Thimm and Juergen Luettin, in: Pattern Recognition and Image Understanding, Infix, 1999
BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues, Chinchu Thomas, Dinesh Jayagopi and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Interactive Experiences for Television and Online Video (TVX), Salford, ENGLAND, 2019
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[DOI]
Imitation of Manipulation Skills Using Multiple Geometries, Boyang Ti, Yongsheng Gao, Jie Zhao and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2022
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