Publication list - Idiap Publications

GAFRO: Geometric Algebra for Robotics [Tutorial], Tobias Löw, Philip Abbet and Sylvain Calinon, in: IEEE Robotics and Automation Magazine, 32(3):184-194, 2025

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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

Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition, Aniruddha Adiga, Mathew Magimai-Doss and Chandra Sekhar Seelamantula, in: Proceedings of IEEE TENCON, 2013

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation, Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet and Daniel Gatica-Perez, in: 32nd USENIX Security Symposium (USENIX Security 23), 2023

Gaussian Mixture Regression on Symmetric Positive Definite Matrices Manifolds: Application to Wrist Motion Estimation with sEMG, N. Jaquier and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, pages 59-64, 2017

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Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, Sylvain Calinon, in: IEEE Robotics and Automation Magazine (RAM), 2020

Gaze Estimation From Multimodal Kinect Data, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: IEEE Conference in Computer Vision and Pattern Recognition, Workshop on Gesture Recognition, Providence, RI, USA, 2012

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Gaze Estimation in the 3D Space Using RGB-D sensors. Towards Head-Pose And User Invariance., Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: International Journal of Computer Vision, 118(2):194-216, 2016

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Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions, Hafiz Rauf, Alex Bogatu, Norman Paton and Andre Freitas, in: 8th International Conference on Extending Database Technology, 2025

Gender Classification by LUT based boosting of Overlapping Block Patterns, Rakesh Metha, Manuel Günther and Sébastien Marcel, in: Scandinavian Conference on Image Analysis, pages 530-542, Springer International Publishing, 2015

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Generalizable Automatic Classification of Sleep Stages, Samuel Michel, Idiap-Com-02-2023

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life, Lakmal Buddika Meegahapola, EPFL, 2023

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries, Lakmal Buddika Meegahapola, William Droz, Amalia de Götzen, PETER KUN, Chaitanya Nuttakki, Shyam Diwakar, Salvador Ruiz-Correa, Donglei Song, Hao Xu, Miriam Bidoglia, George Gaskell, Altangerel Chagnaa, Amarsanaa Ganbold, Tsolmon Zundui, Carlo Caprini, Daniele Miorandi, Alethia Hume, José Luis Zarza, Luca Cernuzzi, Ivano Bison, Marcelo Rodas Britez, Matteo Busso, Ronald Chenu-Abente, Can Gunel, Fausto Giunchiglia, Laura Schelenz and Daniel Gatica-Perez, in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 6(4), 2022

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Generalized Cauchy Machines, S. Cuche and Emile Fiesler, in: Neurocomputing, 1996

Generalized Policy Iteration using Tensor Approximation for Hybrid Control, Suhan Shetty, Teng Xue and Sylvain Calinon, in: International Conference on Learning Representations (ICLR), 2024

Generalized temporal sampling with active illumination in optical microscopy, Christian Jaques and Michael Liebling, in: Proceeding of the SPIE Conference Optics and Photonics, Wavelets and Sparsity XVIII, SPIE, San Diego, California, United States, SPIE, 2019

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models, A. K. Tanwani, J. Lee, B. Thananjeyan, M. Laskey, S. Krishnan, R. Fox, K. Goldberg and Sylvain Calinon, in: 13th Intl Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018

Generating Calligraphic Trajectories with Model Predictive Control, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Proc. 43rd Conf. on Graphics Interface, Edmonton, AL, Canada, pages 132-139, 2017

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Generating Exact Lattices in The WFST Framework, Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukas Burget, Arnab Ghoshal, Milos Janda, Martin Karafiat, Stefan Kombrink, Petr Motlicek, Yanmin Qian, Korbinian Riedhammer, Karel Vesely and Ngoc Thang Vu, in: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing., The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP, Kyoto, Japan, pages 4213-4216, IEEE Signal Processing Societ, 2012

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Generating Master Faces for Use in PerformingWolf Attacks on Face Recognition Systems, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen and Sébastien Marcel, in: International Join Conference on Biometrics, 2020

Generating Synthetic Face Recognition Datasets Using Brownian Identity Diffusion and a Foundation Model, Hatef Otroshi Shahreza and Sébastien Marcel, in: 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), 2025

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Generative adversarial training of product of policies for robust and adaptive movement primitives, Emmanuel Pignat, Hakan Girgin and Sylvain Calinon, in: In Proc. Conference on Robot Learning (CoRL), 2020

Generative AI Literacy: Twelve Defining Competencies, Ravinithesh Annapureddy, Alessandro Fornaroli and Daniel Gatica-Perez, in: ACM Digital Government: Research and Practice, 2024

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Generative Independent Component Analysis for EEG Classification, Silvia Chiappa and David Barber, in: European Symposium on Artificial Neural Networks ESANN, 2005

Generative Models for Learning Robot Manipulation Skills from Humans, Ajay Kumar Tanwani, Ecole Polytechnique Federale de Lausanne, 2018

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Generative Temporal ICA for Classification in Asynchronous BCI Systems, Silvia Chiappa and David Barber, Idiap-RR-08-2005

Generative Temporal ICA for Classification in Asynchronous BCI Systems, Silvia Chiappa and David Barber, in: The 2nd International IEEE EMBS Conference On Neural Engineering, 2005

Genome scale metabolic network modelling for metabolic profile predictions, Juliette Cooke, Maxime Delmas, Cecilia Wieder, Pablo Rodriguez Mier, Clément Frainay, Florence Vinson, Timothy Ebbels, Nathalie Poupin and Fabien Jourdan, in: PLOS Computational Biology, 20(2):e1011381, 2024

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Geodesic Convolutional Shape Optimization, Pierre Baqué, Edoardo Remelli, Francois Fleuret and Pascal Fua, in: Proceedings of the International Conference on Machine Learning, 2018

Geometric Algebra for Optimal Control with Applications in Manipulation Tasks, Tobias Löw and Sylvain Calinon, in: IEEE Transactions on Robotics, 2023

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter, Stepan Tulyakov, Anton Ivanov, Nicolas Thomas, Victoria Roloff, Antoine Pommerol, Grabriele Cremonese, Thomas Weigel and Francois Fleuret, in: Advances in Space Research, 2018

Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras, Kenneth Alberto Funes Mora and Jean-Marc Odobez, in: IEEE Computer Vision and Pattern Recognition Conference, Columbus, Ohio,USA, pages 1773-1780, IEEE, 2014

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Geometric Matching in Computer Vision--Algorithms and Open Problems, Thomas M. Breuel, Idiap-RR-07-1993

Geometric Structures for Learning and Optimization in Robotics, Sylvain Calinon, in: Annual Review of Control, Robotics, and Autonomous Systems., 2025

Geometry-aware Control and Learning in Robotics, N. Jaquier and Sylvain Calinon, in: R:SS Pioneers Workshop, 2018

Geometry-aware Manipulability Learning, Tracking and Transfer, N. Jaquier, L. Rozo, D. G. Caldwell and Sylvain Calinon, in: International Journal of Robotic Research, 40(2-3):624-650, 2021

Geometry-aware Robot Manipulability Transfer, N. Jaquier, L. Rozo and Sylvain Calinon, in: R:SS Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models, 2018

Geometry-aware Tracking of Manipulability Ellipsoids, N. Jaquier, L. Rozo, D. G. Caldwell and Sylvain Calinon, in: Robotics: Science and Systems, Pittsburgh, USA, 2018

GeoNeRF: Generalizing NeRF with Geometry Priors, Mohammad Mahdi Johari, Yann Lepoittevin and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022

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German News Article Classification : A Multichannel CNN Approach, Shantipriya Parida, Petr Motlicek and Satya Ranjan Dash, Idiap-RR-09-2020

Gesture control interface for immersive panoramic displays, Marcel Alcoverro, Xavier Suau, Adolfo Lopez-Mendez, Josep R. Morros, Javier Ruiz-Hidalgo, Albert Gil and Josep R. Casas, in: Multimedia Tools and Applications, 1380-7501:1-27, 2013

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Gestures for Multi-Modal Interfaces: A Review, Sébastien Marcel, Idiap-RR-34-2002

GILE: A Generalized Input-Label Embedding for Text Classification, Nikolaos Pappas and James Henderson, in: Transactions of the Association for Computational Linguistics (TACL), 2019

Given that, Should I Respond? Contextual Addressee Estimation in Multi-Party Human-Robot Interactions, Dinesh Babu Jayagopi and Jean-Marc Odobez, in: Proceedings of Human Robot Interaction (HRI) Conference, 2013

Giving Sense to Inputs: Toward an Accessible Control Framework for Shared Autonomy, Shalutha Rajapakshe, Jean-Marc Odobez and Emmanuel Senft, in: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, Melbourne, Australia, ACM, 2025

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Global Optimization with Sparse and Local Gaussian Process Models, Tipaluck Krityakierne and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 185-196, Springer International Publishing, 2015

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GLoFool: global enhancements and local perturbations to craft adversarial images, Mirko Agarla and Andrea Cavallaro, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024

Google Portrait, Sébastien Marcel, Philip Abbet and Maël Guillemot, Idiap-Com-07-2007

Gradient Alignment in Deep Neural Networks, Suraj Srinivas and Francois Fleuret, Idiap-RR-14-2020

Gradient estimates of return, Christos Dimitrakakis and Samy Bengio, Idiap-RR-29-2005