Tung Nguyen | DeepAI

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∙ 07/17/2023

An Admissible Shift-Consistent Method for Recommender Systems

In this paper, we propose a new constraint, called shift-consistency, fo...

0 Tung Nguyen, et al. ∙

∙ 07/17/2023

Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems

In this paper we discuss pre- and post-processing methods to induce desi...

0 Tung Nguyen, et al. ∙

∙ 07/04/2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Modeling weather and climate is an essential endeavor to understand the ...

0 Tung Nguyen, et al. ∙

∙ 02/17/2023

Utilization of domain knowledge to improve POMDP belief estimation

The partially observable Markov decision process (POMDP) framework is a ...

0 Tung Nguyen, et al. ∙

∙ 01/24/2023

ClimaX: A foundation model for weather and climate

Most state-of-the-art approaches for weather and climate modeling are ba...

0 Tung Nguyen, et al. ∙

∙ 01/03/2023

Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios

Here, we demonstrate how machine learning enables the prediction of como...

0 Tung Nguyen, et al. ∙

∙ 10/11/2022

ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning

The goal of offline reinforcement learning (RL) is to learn near-optimal...

0 Tung Nguyen, et al. ∙

∙ 07/09/2022

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Neural Processes (NPs) are a popular class of approaches for meta-learni...

0 Tung Nguyen, et al. ∙

∙ 06/27/2022

A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System

In this paper we provide a latent-variable formulation and solution to t...

5 Tung Nguyen, et al. ∙

∙ 04/04/2022

A Unit-Consistent Tensor Completion with Applications in Recommender Systems

In this paper we introduce a new consistency-based approach for defining...

1 Tung Nguyen, et al. ∙

∙ 06/14/2021

Temporal Predictive Coding For Model-Based Planning In Latent Space

High-dimensional observations are a major challenge in the application o...

0 Tung Nguyen, et al. ∙

∙ 04/24/2020

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding

The control and guidance of multi-robots (swarm) is a non-trivial proble...

0 Hung The Nguyen, et al. ∙

∙ 03/02/2020

Predictive Coding for Locally-Linear Control

High-dimensional observations and unknown dynamics are major challenges ...

5 Rui Shu, et al. ∙

∙ 12/09/2019

An Interactive Indoor Drone Assistant

With the rapid advance of sophisticated control algorithms, the capabili...

0 Tino Fuhrman, et al. ∙

∙ 07/27/2019

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

The field of video compression has developed some of the most sophistica...

0 Simon Wiedemann, et al. ∙

∙ 10/10/2018

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction

In apprenticeship learning (AL), agents learn by watching or acquiring h...

0 Hung Nguyen, et al. ∙

∙ 03/04/2018

Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey

Swarm systems consist of large numbers of robots that collaborate autono...

0 Aya Hussein, et al. ∙

∙ 04/27/2016

Image Colorization Using a Deep Convolutional Neural Network

In this paper, we present a novel approach that uses deep learning techn...

0 Tung Nguyen, et al. ∙

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