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A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Learning diverse features in vision transformers for improved generalization, Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe and Damien Teney, in: ICML 2023: The Second Workshop on Spurious Correlations, Invariance and Stability, 2023
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Enhancing Multi-modal Classification of Violent Events using Image Captioning, Daniel Vallejo-Aldana, A. Pastor López-Monroy and Esaú Villatoro-Tello, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings, Jaén, Spain, 2023
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Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network, Hatef Otroshi Shahreza and Sébastien Marcel, in: Thirty-seventh Conference on Neural Information Processing Systems, 2023
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Remote Cancelable Biometric System for Verification and Identification Applications, Hatef Otroshi Shahreza, Amina Bassit, Sébastien Marcel and Raymond Veldhuis, in: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), 2023
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Learning to Abstract with Nonparametric Variational Information Bottleneck, Melika Behjati, Fabio Fehr and James Henderson, in: The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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Inversion of Deep Facial Templates using Synthetic Data, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the IEEE International Joint Conference on Biometric, 2023
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Robust Execution of Assembly Policies Using a Pose Invariant Task Representation, Bojan Nemec, Matevz Hrovat, Mihael Simonič, Suhan Shetty, Sylvain Calinon and Ales Ude, in: 20th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA, IEEE, 2023
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Exploring Human Biometrics: A Focus on Security Concerns and Deep Neural Networks, Vedrana Krivokuca, in: APSIPA Transactions on Signal and Information Processing, 2023
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Tensor Train for Global Optimization Problems in Robotics, Suhan Shetty, Teguh Santoso Lembono, Tobias Löw and Sylvain Calinon, in: International Journal of Robotics Research, 43(6):811-839, 2024
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Whole-Body Ergodic Exploration with a Manipulator Using Diffusion, Cem Bilaloglu, Tobias Löw and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 8(12):8581-8587, 2023
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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation, Mutian He and Philip N. Garner, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 4408-4423, Association for Computational Linguistics, 2023
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Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: Robotic Research, pages 436-451, Springer, 2023
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Programming industrial robots from few demonstrations., Sylvain Calinon, in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023
Efficient Grapevine Structure Estimation in Vineyards Conditions, Théophile Gentilhomme, Michael Villamizar, Jérome Corre and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, Paris, pages 712--720, 2023
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The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification, Samy Tafasca, Anshul Gupta, Nada Kojovic, Mirko Gelsomini, Thomas Maillart, Michela Papandrea, Marie Schaer and Jean-Marc Odobez, in: Companion Publication of the 25th International Conference on Multimodal Interaction, Paris, France, pages 414–425, Association for Computing Machinery, 2023
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Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, IEEE/CVF, 2024
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ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, Sina Sajadmanesh and Daniel Gatica-Perez, in: The 17th ACM International Conference on Web Search and Data Mining, 2024
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