Bac Nguyen

According to our database, Bac Nguyen authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Embedding Collapse in Diffusion Models for Categorical Data.

Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji

CoRR, 2024

G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving.

Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji

CoRR, 2024

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning.

Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville

CoRR, 2024

Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning.

Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli

Proceedings of the IEEE International Conference on Acoustics, 2024

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision.

Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Towards Robust FastSpeech 2 by Modelling Residual Multimodality.

Fabian Kögel, Bac Nguyen, Fabien Cardinaux

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation.

Bac Nguyen, Stefan Uhlich, Fabien Cardinaux

Proceedings of the IEEE International Conference on Acoustics, 2023

Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling.

Bac Nguyen, Fabien Cardinaux, Stefan Uhlich

Proceedings of the IEEE International Conference on Acoustics, 2023

Resource orchestration and digitalisation at a public hospital in Vietnam.

Duy Dang-Pham, Karlheinz Kautz, Mathews Nkhoma, Mai Do Thi Hoang, Phuong Do, Bac Nguyen

Proceedings of the Australasian Conference on Information Systems, 2023

2022

Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition.

Marie Biolková, Bac Nguyen

CoRR, 2022

NVC-Net: End-To-End Adversarial Voice Conversion.

Bac Nguyen, Fabien Cardinaux

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings.

Vivek Chalumuri, Bac Nguyen

CoRR, 2021

Otolith identification using a deep hierarchical classification model.

Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets

Comput. Electron. Agric., 2021

2020

Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.

Bac Nguyen, Carlos Morell, Bernard De Baets

IEEE Trans. Cybern., 2020

Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling.

Bac Nguyen, Bernard De Baets

Neurocomputing, 2020

2019

Kernel-Based Distance Metric Learning for Supervised k-Means Clustering.

Bac Nguyen, Bernard De Baets

IEEE Trans. Neural Networks Learn. Syst., 2019

Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification.

Bac Nguyen, Bernard De Baets

IEEE Trans. Image Process., 2019

An efficient method for clustered multi-metric learning.

Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets

Inf. Sci., 2019

2018

An approach to supervised distance metric learning based on difference of convex functions programming.

Bac Nguyen, Bernard De Baets

Pattern Recognit., 2018

Distance metric learning for ordinal classification based on triplet constraints.

Bac Nguyen, Carlos Morell, Bernard De Baets

Knowl. Based Syst., 2018

2017

Distance metric learning with the Universum.

Bac Nguyen, Carlos Morell, Bernard De Baets

Pattern Recognit. Lett., 2017

Supervised distance metric learning through maximization of the Jeffrey divergence.

Bac Nguyen, Carlos Morell, Bernard De Baets

Pattern Recognit., 2017

Distance metric learning: a two-phase approach.

Bac Nguyen, Carlos Morell, Bernard De Baets

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Large-scale distance metric learning for k-nearest neighbors regression.

Bac Nguyen, Carlos Morell, Bernard De Baets

Neurocomputing, 2016