All publications sorted by author
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| Automatic vs. human question answering over multimedia meeting recordings, and , Idiap-RR-13-2009 |
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| Automatic vs. human question answering over multimedia meeting recordings, and , in: 10th Annual Conference of the International Speech Communication Association, 2009 |
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| Building Word Embeddings for Solving Natural Language Processing, , École Polytechnique Fédérale de Lausanne, 2016 |
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| N-gram-Based Low-Dimensional Representation for Document Classification, and , in: International Conference on Learning Representations, 2015 |
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| Rehabilitation of Count-based Models for Word Vector Representations, and , in: Computational Linguistics and Intelligent Text Processing, pages 417-429, Springer International Publishing, 2015 |
| "The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders, and , Idiap-RR-21-2015 |
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| Word Embeddings through Hellinger PCA, and , in: 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014 |
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| Word Embeddings through Hellinger PCA, and , Idiap-RR-29-2013 |
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| Is Deep Learning Really Necessary for Word Embeddings?, , and , Idiap-RR-44-2013 |
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| Twitter Sentiment Analysis (Almost) from Scratch, , and , Idiap-RR-15-2016 |
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| Phrase-based Image Captioning, , and , Idiap-RR-08-2015 |
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| Phrase-based Image Captioning, , and , in: International Conference on Machine Learning (ICML), Lille, France, pages 2085–2094, JMLR, 2015 |
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| Simple Image Description Generator via a Linear Phrase-based Model, , and , Idiap-RR-22-2015 |
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| Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , in: Actes de la conference conjointe JEP-TALN-RECITAL 2012, Grenoble, France, pages 193-200, ATALA/AFCP, 2012 |
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| Supervised and unsupervised Web-based language model domain adaptation, , , and , Idiap-RR-22-2012 |
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| Supervised and unsupervised Web-based language model domain adaptation, , , and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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| Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , Idiap-RR-23-2012 |
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| Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , Idiap-RR-21-2012 |
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| Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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| Domain-specific language model adaptation: a case study, , and , Idiap-Com-01-2013 |
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| The I4U Submission to the 2012 NIST Speaker Recognition Evaluation, , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: NIST Speaker Recognition Conference, 2012 |
| Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Cancer Patients at Low Versus High Risk of Severe Complications of COVID-19 Infection Upon Presentation to Hospital, , , and , in: Clinical Cancer Informatics, 2022 |
| Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, , , and , in: ESMO Open, 2021 |
| Tractable Approaches to Learning and Planning in High Dimensions, , EPFL, 2014 |
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| Jointly Informative Feature Selection, and , in: Journal of Machine Learning Research, 2016 |
| Jointly Informative Feature Selection, and , in: International Conference on Artificial Intelligence and Statistics, pages 567–575, 2014 |
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| Dynamic Programming Boosting for Discriminative Macro-Action Discovery, and , in: International Conference on Machine Learning, 2014 |
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| Reservoir Boosting : Between Online and Offline Ensemble Learning, and , in: Proceedings of the international conference on Neural Information Processing Systems, 2013 |
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| Macro-Action Discovery Based on Change Point Detection and Boosting, and , in: International Conference on Machine Learning and Applications, 2012 |
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| Joint Cascade Optimization Using a Product Of Boosted Classifiers, and , in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010 |
| View-Based Appearance Model Online Learning for 3D Deformable Face Tracking, and , in: Proc. Int. Conf. on Computer Vision Theory and Applications, Angers, 2010 |
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| Structure and appearance features for robust 3D facial actions tracking, and , in: IEEE Proc. Int. Conf. on Multimedia and Expo, IEEE, 2009 |
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| treeKL: A distance between high dimension empirical distributions, and , in: Pattern Recognition Letters, 34(2):140-145, 2013 |
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| A tree-based distance between distributions: application to classification of neurons, and , in: ICASSP 2012 : IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
| Machine learning techniques to analyse complex, computer vision-extracted, dynamic cellular phenotypes, , , , , and , in: 1st International SystemsX.ch Conference on Systems Biology, 2011 |
| Machine learning-based tools to model and to remove the off-target effect, , , and , in: Pattern Analysis and Applications, 20(1):87-100, 2017 |
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| Word Sequence Modeling using Deep Learning: and End-to-end Approach and its Applications, , EPFL, 2016 |
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| Neural Network-based Word Alignment through Score Aggregation, , and , in: Proceedings of the ACL 1st Conference on Machine Translation, 2016 |
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| Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages, and , in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016 |
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| Phrase Representations for Multiword Expressions, and , in: Proceedings of the 12th Workshop on Multiword Expressions, 2016 |
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| Joint RNN-Based Greedy Parsing and Word Composition, and , in: Proceedings of ICLR 2015, 2015 |
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| Syntactic Parsing of Morphologically Rich Languages Using Deep Neural Networks, and , Idiap-RR-25-2015 |
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| Recurrent Greedy Parsing with Neural Networks, and , in: Proceedings of ECML 2014, pages 130-144, Springer Berlin Heidelberg, 2014 |
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| Hierarchical approach for spotting keywords, , Idiap-RR-41-2005 |
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| Bagging Using the VMSE Cost Function, , Idiap-RR-27-2002 |
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| SOM-Based Clustering for On-Line Fraud Behavior Classification: a Case Study, and , Idiap-RR-30-2002 |
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| Memory of Motion for Initializing Optimization in Robotics, , École Polytechnique Fédérale de Lausanne, 2022 |
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| Probabilistic Iterative LQR for Short Time Horizon MPC, and , in: International Conference on Intelligent Robots and Systems, pages 579-585, 2021 |
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| Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion, , , , and , in: International Conference on Robotics and Automation, 2020 |
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| Memory of Motion for Warm-starting Trajectory Optimization, , , and , in: IEEE Robotics and Automation Letters, 5(2):2594-2601, 2020 |
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