Publications
A full list of my publications can be found on my Google Scholar profile.
Preprints
- D Nguyen, S Ouala, L Drumetz, and R Fablet, Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations, 2020, (pdf).
- D Nguyen, S Ouala, L Drumetz, and R Fablet, EM-like Learning Chaotic Dynamics from Noisy and Partial Observations, 2019, (pdf).
Journal papers
- D Nguyen, R Vadaine, G Hajduch, R Garello, and R Fablet, GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020, (pdf).
- S Ouala, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, L Gaultier, and R Fablet, Learning Latent Dynamics for Partially-Observed Chaotic Systems, Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020, (pdf).
Publications in conference proceedings
- D Nguyen, M Simonin, G Hajduch, R Vadaine, C Tedeschi, and R Fablet, Detection of Abnormal Vessel Behaviors from AIS data using GeoTrackNet: from the Laboratory to the Ocean, 21st IEEE International Conference on Mobile Data Management (MDM), Maritime Big Data Workshop (MBDW), 2020, (pdf).
- D Nguyen, S Ouala, L Drumetz, and R Fablet, Assimilation-based Learning of Chaotic Dynamical Systems from Noisy and Partial Data, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, (pdf).
- D Nguyen, OS Kirsebom, F Frazão, R Fablet, and S Matwin, Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, (pdf).
- D Nguyen, R Vadaine, G Hajduch, R Garello, and R Fablet, A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams, The 5th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA), 2018, (pdf).
- D Nguyen, R Vadaine, G Hajduch, R Garello, and R Fablet, An AIS-based Deep Learning Model for Vessel Monitoring, NATO CMRE Maritime Big Data Workshop (MBDW), 2018.
- S Ouala, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, L Gaultier, and R Fablet, Learning ocean dynamical priors from noisy data using assimilation-derived neural nets, 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, (pdf).
- S Ouala, D Nguyen, SL Brunton, L Drumetz, and R Fablet, Learning Constrained Dynamical Embeddings for Geophysical Dynamics, 9th International Conference on Climate Informatics (CI), 2019, (pdf).
Communications in international conferences
- D Nguyen, S Ouala, L Drumetz and R Fablet, Learning Chaotic and Stochastic Dynamics from Noisy and Partial Observation using Variational Deep Learning, 10th International Conference on Climate Informatics (CI), 2020.
- S Ouala, R Fablet, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, and L Gaultier, Data assimilation schemes as a framework for learning dynamical model from partial and noisy observations, General Assembly of the European Geosciences Union (EGU), 2019.