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Iterative Posterior-Based Keyword Spotting Without Filler Models, Marius-Calin Silaghi and Hervé Bourlard, in: Proceedings of the IEEE Automatic Speech Recognition and Understanding (ASRU'99) Workshop, 1999
Learning Task Priorities from Demonstrations, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: IEEE Transactions on Robotics, 35(1):78-94, 2019
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Bimanual Skill Learning with Pose and Joint Space Constraints, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: Proc. of the IEEE-RAS Intl Conf. on Humanoid Robots (Humanoids), 2018
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A Laser-based Dual-arm System for Precise Control of Collaborative Robots, J. Silverio, G. Clivaz and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2021
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Uncertainty-aware imitation learning using kernelized movement primitives, J. Silverio, Y. Huang, F. J. Abu-Dakka, L. Rozo and D. G. Caldwell, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
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Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints, J. Silverio, Y. Huang, L. Rozo, Sylvain Calinon and D. G. Caldwell, in: Proc. of the IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 6552-6559, 2018
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Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems, J. Silverio, L. Rozo, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 464-470, 2015
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On Use of Task Independent Training Data in Tandem Feature Extraction, Sunil Sivadas and Hynek Hermansky, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04), 2004
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Confidence Matters : Applications to Semantic Segmentation, Prabhu Teja Sivaprasad, École polytechnique fédérale de Lausanne, 2023
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Uncertainty Reduction for Model Adaptation in Semantic Segmentation, Prabhu Teja Sivaprasad and Francois Fleuret, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Test time Adaptation through Perturbation Robustness, Prabhu Teja Sivaprasad and Francois Fleuret, in: Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
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Optimizer Benchmarking Needs to Account for Hyperparameter Tuning, Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi and Francois Fleuret, in: Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, 2020
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Joint Speaker Verification and Anti-Spoofing in the i-Vector Space, Aleksandr Sizov, Elie Khoury, Tomi Kinnunen, Zhizheng Wu and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security, 10(4):821-832, 2015
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Order Matters: A Distributed Sampling Method for Multi-Object Tracking, Kevin C. Smith, in: British Machine Vision Conference (BMVC), 2004
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Tracking the Multi Person Wandering Visual Focus of Attention, Kevin C. Smith, Silèye O. Ba, Daniel Gatica-Perez and Jean-Marc Odobez, in: International Conference on Multimodal Interfaces (ICMI06), 2006
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Detecting Abandoned Luggage Items in a Public Space, Kevin C. Smith, Pedro Quelhas and Daniel Gatica-Perez, in: IEEE Performance Evaluation of Tracking and Surveillance Workshop (PETS), 2006
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Multi-Person Tracking in Meetings: A Comparative Study, Kevin C. Smith, Sascha Schreiber, Vítezslav Beran, Igor Potúcek, Gerhard Rigoll and Daniel Gatica-Perez, in: Multimodal Interaction and Related Machine Learning Algorithms (MLMI), 2006
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Posterior Features for Template-based ASR, Serena Soldo, Mathew Magimai.-Doss, Joel Praveen Pinto and Hervé Bourlard, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 2011
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Gradient-based Methods for Deep Model Interpretability, Suraj Srinivas, École polytechnique fédérale de Lausanne, 2021
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Full-Gradient Representation for Neural Network Visualization, Suraj Srinivas and Francois Fleuret, in: Advances in Neural Information Processing Systems, 2019
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