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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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Sharingan: A Transformer Architecture for Multi-Person Gaze Following, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Int. Conference Computer Vision and Pattern Recognition (CVPR), Seatle, 2024
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ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
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Enabling speech applications using Ad-Hoc Microphone Arrays, Mohammad J. Taghizadeh, École Polytechnique Fédérale de Lausanne, 2015
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Ad-Hoc Microphone Array Calibration from Partial Distance Measurements, Mohammad J. Taghizadeh, Afsaneh Asaei, Philip N. Garner and Hervé Bourlard, in: Proceeding of 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014
Ad-Hoc Microphone Array Calibration from Partial Distance Measurements, Mohammad J. Taghizadeh, Afsaneh Asaei, Philip N. Garner and Hervé Bourlard, in: Proceedings of the 4th Joint Workshop on Hands-free speech communication and Microphone Arrays, Villers-les-Nancy, pages 1 - 5, IEEE, 2014
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Microphone Array Beampattern Characterization for Hands-free Speech Applications, Mohammad J. Taghizadeh, Philip N. Garner and Hervé Bourlard, in: IEEE 7th Sensor Array and Multichannel Signal Processing Workshop(SAM), Hoboken, NJ, USA, pages 473-476, 2012
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Robust Microphone Placement for Source Localization from Noisy Distance Measurements, Mohammad J. Taghizadeh, Saeid Haghighatshoar, Afsaneh Asaei, Philip N. Garner and Hervé Bourlard, in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2579-2583, IEEE, 2015
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Adapting the 2-Class Recursive Deterministic Perceptron Neural Network to m Classes, M. Tajine, D. Elizondo, Emile Fiesler and Jerzy Korczak, in: Proceedings of the International Conference on Neural Networks, IEEE, IEEE, 1997
Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: IEEE International Conference on Acoustics, Speech and Signal Processing, pages 795--799, 2019
Complexity reduction of eigenvalue decomposition-based diffuse power spectral density estimators using the power method, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 451-455, 2018
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Iterative alternating least-aquares approach to jointly estimate the RETFs and the diffuse PSD, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018
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On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning, Marc Tanti, Lonneke van der Plas, Claudia Borg and Albert Gatt, in: Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Small Variance Asymptotics for Non-Parametric Online Robot Learning, A. K. Tanwani and Sylvain Calinon, in: International Journal of Robotics Research (IJRR), 38(1):3-22, 2019
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Sequential Robot Imitation Learning from Observations, A. K. Tanwani, A. Yan, J. Lee, Sylvain Calinon and K. Goldberg, in: International Journal of Robotics Research (IJRR), 2021
Transfer in Inverse Reinforcement Learning for Multiple Strategies, Ajay Kumar Tanwani and Aude Billard, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, pages 3244-3250, IEEE, 2013
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A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation, Ajay Kumar Tanwani and Sylvain Calinon, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
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Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics, Ajay Kumar Tanwani and Sylvain Calinon, in: NIPS workshop on Advances in Approximate Bayesian Inference, Barcelona, Spain, pages 1-5, 2016
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Rewards-driven control of robot arm by decoding EEG signals, Ajay Kumar Tanwani, José del R. Millán and Aude Billard, in: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pages 1658-1661, IEEE, 2014
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Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar and Mathew Magimai.-Doss, in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022
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Time-Sensitive Topic Models for Action Recognition in Videos, Romain Tavenard, Remi Emonet and Jean-Marc Odobez, in: IEEE International Conference on Image Processing, 2013
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Unshuffling data for improved generalization in visual question answering, Damien Teney, Ehsan Abbasnejad and Anton van den Hengel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Neural Redshift: Random Networks are not Random Functions, Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann and Ehsan Abbasnejad, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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
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