Search Results for author: Duong Nguyen

Found 12 papers, 8 papers with code

Revisiting LARS for Large Batch Training Generalization of Neural Networks

no code implementations25 Sep 2023 Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Nguyen-Hoang Tran, Quoc-Viet Pham

This paper explores Large Batch Training techniques using layer-wise adaptive scaling ratio (LARS) across diverse settings, uncovering insights.

Self-Supervised Learning

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

1 code implementation8 Sep 2021 Duong Nguyen, Ronan Fablet

While the Automatic Identification System (AIS) offers a rich source of information to address this task, forecasting vessel trajectory using AIS data remains challenging, even for modern machine learning techniques, because of the inherent heterogeneous and multimodal nature of motion data.

Trajectory Forecasting

Structured Dropout Variational Inference for Bayesian Neural Networks

no code implementations NeurIPS 2021 Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho

Approximate inference in Bayesian deep networks exhibits a dilemma of how to yield high fidelity posterior approximations while maintaining computational efficiency and scalability.

Bayesian Inference Computational Efficiency +2

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

1 code implementation4 Sep 2020 Duong Nguyen, Said Ouala, Lucas. Drumetz, Ronan Fablet

The data-driven recovery of the unknown governing equations of dynamical systems has recently received an increasing interest.

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

no code implementations12 Aug 2020 Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet

The constant growth of maritime traffic leads to the need of automatic anomaly detection, which has been attracting great research attention.

Anomaly Detection

Neuroevolution of Self-Interpretable Agents

3 code implementations18 Mar 2020 Yujin Tang, Duong Nguyen, David Ha

Inattentional blindness is the psychological phenomenon that causes one to miss things in plain sight.

Reinforcement Learning (RL)

Learning Latent Dynamics for Partially-Observed Chaotic Systems

1 code implementation4 Jul 2019 Said Ouala, Duong Nguyen, Lucas. Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet

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 observed, with an emphasis on forecasting applications, including long-term asymptotic patterns.

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations

no code implementations25 Mar 2019 Duong Nguyen, Said Ouala, Lucas. Drumetz, Ronan Fablet

To solve for the joint inference of the hidden dynamics and of model parameters, we combine neural-network representations and state-of-the-art assimilation schemes.

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

1 code implementation13 Feb 2019 Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin

In this paper, we adapt Recurrent Neural Networks with Stochastic Layers, which are the state-of-the-art for generating text, music and speech, to the problem of acoustic novelty detection.

Acoustic Novelty Detection Feature Engineering +1

BiasedWalk: Biased Sampling for Representation Learning on Graphs

1 code implementation7 Sep 2018 Duong Nguyen, Fragkiskos D. Malliaros

We have performed a detailed experimental evaluation comparing the performance of the proposed algorithm against various baseline methods, on several datasets and learning tasks.

Community Detection General Classification +3

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