All publications sorted by author
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |
L
| Is Deep Learning Really Necessary for Word Embeddings?, , and , Idiap-RR-44-2013 |
|
| Twitter Sentiment Analysis (Almost) from Scratch, , and , Idiap-RR-15-2016 |
|
| Phrase-based Image Captioning, , and , Idiap-RR-08-2015 |
|
| Phrase-based Image Captioning, , and , in: International Conference on Machine Learning (ICML), Lille, France, pages 2085–2094, JMLR, 2015 |
[URL] |
| Simple Image Description Generator via a Linear Phrase-based Model, , and , Idiap-RR-22-2015 |
|
| 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 |
|
| Supervised and unsupervised Web-based language model domain adaptation, , , and , Idiap-RR-22-2012 |
|
| Supervised and unsupervised Web-based language model domain adaptation, , , and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
|
| 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 |
|
| Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , Idiap-RR-21-2012 |
|
| 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 |
|
| Domain-specific language model adaptation: a case study, , and , Idiap-Com-01-2013 |
|
| 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 |
[DOI] |
| 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 |
|
| Dynamic Programming Boosting for Discriminative Macro-Action Discovery, and , in: International Conference on Machine Learning, 2014 |
|
| Reservoir Boosting : Between Online and Offline Ensemble Learning, and , in: Proceedings of the international conference on Neural Information Processing Systems, 2013 |
|
| Macro-Action Discovery Based on Change Point Detection and Boosting, and , in: International Conference on Machine Learning and Applications, 2012 |
|
| 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 |
|
| Structure and appearance features for robust 3D facial actions tracking, and , in: IEEE Proc. Int. Conf. on Multimedia and Expo, IEEE, 2009 |
|
| treeKL: A distance between high dimension empirical distributions, and , in: Pattern Recognition Letters, 34(2):140-145, 2013 |
|
| 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 |
[DOI] |
| Word Sequence Modeling using Deep Learning: and End-to-end Approach and its Applications, , EPFL, 2016 |
[DOI] |
| Neural Network-based Word Alignment through Score Aggregation, , and , in: Proceedings of the ACL 1st Conference on Machine Translation, 2016 |
|
| 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 |
|
| Phrase Representations for Multiword Expressions, and , in: Proceedings of the 12th Workshop on Multiword Expressions, 2016 |
|
| Joint RNN-Based Greedy Parsing and Word Composition, and , in: Proceedings of ICLR 2015, 2015 |
|
| Syntactic Parsing of Morphologically Rich Languages Using Deep Neural Networks, and , Idiap-RR-25-2015 |
|
| Recurrent Greedy Parsing with Neural Networks, and , in: Proceedings of ECML 2014, pages 130-144, Springer Berlin Heidelberg, 2014 |
[DOI] |
| Hierarchical approach for spotting keywords, , Idiap-RR-41-2005 |
|
| Bagging Using the VMSE Cost Function, , Idiap-RR-27-2002 |
|
| SOM-Based Clustering for On-Line Fraud Behavior Classification: a Case Study, and , Idiap-RR-30-2002 |
|
| Memory of Motion for Initializing Optimization in Robotics, , École Polytechnique Fédérale de Lausanne, 2022 |
|
| Probabilistic Iterative LQR for Short Time Horizon MPC, and , in: International Conference on Intelligent Robots and Systems, pages 579-585, 2021 |
[DOI] |
| Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion, , , , and , in: International Conference on Robotics and Automation, 2020 |
|
| Memory of Motion for Warm-starting Trajectory Optimization, , , and , in: IEEE Robotics and Automation Letters, 5(2):2594-2601, 2020 |
[DOI] |
| Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network, , , and , in: IEEE Robotics and Automation Letters, 2021 |
|
| SCALAR - Simultaneous Calibration of 2D Laser And Robot's Kinematic Parameters Using Three Planar Constraints, , and , in: International Conference on Intelligent Robots, 2018 |
|
| SCALAR: Simultaneous Calibration of 2-D Laser and Robot Kinematic Parameters Using Planarity and Distance Constraints, , and , in: IEEE Transactions on Automation Science and Engineering, 16(4):1971-1979, 2019 |
[DOI] |
| Non-Invasive Brain Computer Interface for Mental Control of a Simulated Wheelchair, , , , , , and , in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006 |
|
| Effective post-processing for single-channel frequency-domain speech enhancement, , Idiap-RR-71-2007 |
|
| Sub-Band Based Log-Energy and its Dynamic Range Stretching for Robust In-Car Speech Recognition, and , Idiap-RR-16-2012 |
|
| Sub-Band Based Log-Energy and its Dynamic Range Stretching for Robust In-Car Speech Recognition, and , in: Proceedings of the 13th Annual Conference of the International Speech Communication Association (InterSpeech), Portland, Oregon, 2012 |
|
| Non-linear Spectral Contrast Stretching for In-car Speech Recognition, and , in: Interspeech-Eurospeech # to appear in html, 2007 |
|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |