activity
20182021
most citedEM-like Learning Chaotic Dynamics from Noisy and Partial Observations

24 citations · 33 across the 3 of their papers we have counts for

collaborators

8 papers

cs.AI2021

TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction

Duong Nguyen, Ronan Fablet

Vessel trajectory prediction plays a pivotal role in numerous maritime applications and services. While the Automatic Identification System (AIS) offers a rich source of informatio…

cs.LG2020

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations

Duong Nguyen, Said Ouala, Lucas Drumetz +1

The data-driven recovery of the unknown governing equations of dynamical systems has recently received an increasing interest. However, the identification of governing equations re…

cs.CY2020

Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean

Duong Nguyen, Matthieu Simonin, Guillaume Hajduch +3

The constant growth of maritime traffic leads to the need of automatic anomaly detection, which has been attracting great research attention. Information provided by AIS (Automatic…

cs.LG2019

GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection

Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch +2

Representing maritime traffic patterns and detecting anomalies from them are key to vessel monitoring and maritime situational awareness. We propose a novel approach -- referred to…

stat.ML2019

Learning Latent Dynamics for Partially-Observed Chaotic Systems

Said Ouala, Duong Nguyen, Lucas Drumetz +5

This paper addresses the data-driven identification of latent dynamical representations of partially-observed systems, i.e., dynamical systems for which some components are never o…

cs.LG2019★ 24 cited

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations

Duong Nguyen, Said Ouala, Lucas Drumetz +1

The identification of the governing equations of chaotic dynamical systems from data has recently emerged as a hot topic. While the seminal work by Brunton et al. reported proof-of…