We stand with Ukraine

We stand with Ukraine

Vu Nguyen

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Environmental Sound Deepfake Detection Using Deep-Learning Framework.

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David Fischinger

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CoRR, April, 2026

2025

Learnable decomposition meets the neuro-fuzzy learning for robust rich spatial-temporal feature representation learning and better stock price forecasting.

[DOI]

Linh Nguyen Thi My

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Soft Comput., October, 2025

MUSS: Multilevel Subset Selection for Relevance and Diversity.

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CoRR, March, 2025

Meta-learning Population-based Methods for Reinforcement Learning.

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André Biedenkapp

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Trans. Mach. Learn. Res., 2025

An Efficient Denoising Transformer-Based Architecture for Long-Ranged Time-Series Air Quality Prediction.

[DOI]

Linh Nguyen Thi My

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Concurr. Comput. Pract. Exp., 2025

Adaptive Deep Fuzzy Neural Network With Multi-Headed Self-Attention for Improving Performance of Social Network Representation Learning and Link Prediction.

[DOI]

Linh Nguyen Thi My

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Concurr. Comput. Pract. Exp., 2025

Multi-Objective Calibration of Large-Scale Models Using Bayesian Optimization.

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Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

SAVA: Scalable Learning-Agnostic Data Valuation.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Authentication Protocols from the Restricted Syndrome Decoding Problem.

[DOI]

Thomas Johansson

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Mustafa Khairallah

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Proceedings of the 10th IEEE European Symposium on Security and Privacy, 2025

2024

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy.

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Trans. Mach. Learn. Res., 2024

Rejection via Learning Density Ratios.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Key-Recovery Attack on the LCMQ Authentication Protocol.

[DOI]

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Thomas Johansson

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Proceedings of the IEEE International Symposium on Information Theory, 2024

Cross-Triggering Issue in Audio Event Detection and Mitigation.

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Proceedings of the IEEE International Conference on Acoustics, 2024

MSAD4GL: Low-Resource Text Embedding and Classification with Multi-scale Attention Diffusion for Graph Learning.

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Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2024

Optimizing Customer Feedback Analysis with BERT-Based Sentiment Classification: A Case Study of Toyota Dong Sai Gon.

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Luan N. T. Huynh

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Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2024

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach.

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Satoshi Hayakawa

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Martin Jørgensen

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Harald Oberhauser

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Michael A. Osborne

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Global Contrastive Learning for Long-Tailed Classification.

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Thanh Nguyen-Tang

Trans. Mach. Learn. Res., 2023

A New Sieving-Style Information-Set Decoding Algorithm.

[DOI]

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Thomas Johansson

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IACR Cryptol. ePrint Arch., 2023

Using a Catenary Trajectory to Reduce Wellbore Friction in Horizontal Extended Reach Drilling.

[DOI]

CoRR, 2023

Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation.

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Anton van den Hengel

CoRR, 2023

The application of Nano-silica gel in sealing well micro-annuli and cement channeling.

[DOI]

Olatunji Olayiwola

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CoRR, 2023

Well Cement Degradation and Wellbore Integrity in Geological 2 CO2 Storages: A Literature Review.

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Olatunji Olayiwola

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CoRR, 2023

Distributionally Robust Bayesian Optimization with φ-divergences.

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Anton van den Hengel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differential cryptanalysis of Mod-2/Mod-3 constructions of binary weak PRFs.

[DOI]

Thomas Johansson

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Proceedings of the IEEE International Symposium on Information Theory, 2023

Spire Global's Operational GNSS-Reflectometry Constellation for Earth Surface Observations.

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Jessica Cartwright

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Oleguer Nogués-Correig

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Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees.

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David Alexander

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Benjamin Ward Muir

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

[DOI]

Jack Parker-Holder

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André Biedenkapp

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Roberto Calandra

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Aleksandra Faust

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Marius Lindauer

J. Artif. Intell. Res., 2022

Attacks on the Firekite cipher.

[DOI]

Thomas Johansson

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IACR Cryptol. ePrint Arch., 2022

Sampling type method combined with deep learning for inverse scattering with one incident wave.

[DOI]

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Dinh-Liem Nguyen

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CoRR, 2022

Confident Sinkhorn Allocation for Pseudo-Labeling.

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Anton van den Hengel

CoRR, 2022

Retrieval Augmented Classification for Long-Tail Visual Recognition.

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Thalaiyasingam Ajanthan

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Anton van den Hengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bayesian Generational Population-Based Training.

[DOI]

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Jack Parker-Holder

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Michael A. Osborne

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds.

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Marc Peter Deisenroth

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Michael A. Osborne

CoRR, 2021

Hierarchical Indian buffet neural networks for Bayesian continual learning.

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Stephen J. Roberts

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL.

[DOI]

Jack Parker-Holder

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Stephen J. Roberts

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.

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Michael A. Osborne

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search.

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Michael A. Osborne

Proceedings of the 38th International Conference on Machine Learning, 2021

Bayesian Topic Regression for Causal Inference.

[DOI]

Maximilian Ahrens

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Jan-Peter Calliess

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Gaussian Process Bandit Optimization of theThermodynamic Variational Objective.

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Michael A. Osborne

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CoRR, 2020

One-Shot Bayes Opt with Probabilistic Population Based Training.

[DOI]

Jack Parker-Holder

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Stephen Roberts

CoRR, 2020

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits.

[DOI]

Jack Parker-Holder

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Stephen J. Roberts

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Optimization for Iterative Learning.

[DOI]

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Sebastian Schulze

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Michael A. Osborne

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective.

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Michael A. Osborne

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Optimisation over Multiple Continuous and Categorical Inputs.

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Michael A. Osborne

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Stephen J. Roberts

Proceedings of the 37th International Conference on Machine Learning, 2020

Knowing The What But Not The Where in Bayesian Optimization.

[DOI]

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Michael A. Osborne

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

VIETHERB: A Database for Vietnamese Herbal Species.

[DOI]

Thanh-Hoang Nguyen-Vo

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Thien-Ngan Nguyen

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Trong Hai Duong

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J. Chem. Inf. Model., 2019

Indian Buffet Neural Networks for Continual Learning.

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Stephen Roberts

CoRR, 2019

Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract).

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Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2016

A Semi-automated Method for Capturing Consumer Preferences for System Requirements.

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Jelena Zdravkovic

Proceedings of the Practice of Enterprise Modeling, 2016

2015

Piezotronic Effect: An Emerging Mechanism for Sensing Applications.

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Sensors, 2015

2014

A unifying approach for the identification of application-driven stealthy attacks on mobile CPS.

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Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2007

The design and implementation of an automated security compliance toolkit: a pedagogical exercise.

[DOI]

Guillermo Francia III

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Rahjima R. Francia

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Proceedings of the 4th Annual Conference on Information Security Curriculum Development, 2007

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