Bac Nguyen - RankMe

36 papers A 1B 2Misc 3Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified View of Drifting and Score-Based Models. CoRR Chieh-Hsin Lai, Bac Nguyen, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon, Molei Tao
2026	J	`jnl`	GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning. CoRR Naoki Murata, Yuhta Takida, Chieh-Hsin Lai, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2026	J	`jnl`	Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment. CoRR Bac Nguyen, Yuhta Takida, Naoki Murata, Chieh-Hsin Lai, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2026	J	`jnl`	Information-Guided Noise Allocation for Efficient Diffusion Training. CoRR Gabriel Raya, Bac Nguyen, Georgios Batzolis, Yuhta Takida, Dejan Stancevic, Naoki Murata, Chieh-Hsin Lai, Yuki Mitsufuji, Luca Ambrogioni
2025	J	`jnl`	G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving. Trans. Mach. Learn. Res. Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2025	B	`conf`	Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion. IJCNN Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2025	J	`jnl`	SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator. CoRR Yuhta Takida, Satoshi Hayakawa, Takashi Shibuya, Masaaki Imaizumi, Naoki Murata, Bac Nguyen, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuki Mitsufuji
2024	J	`jnl`	G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving. CoRR Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji
2024	J	`jnl`	Mitigating Embedding Collapse in Diffusion Models for Categorical Data. CoRR Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji
2024	—	`conf`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. ECCV (69) Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning. CoRR Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
2024	—	`conf`	SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. ECCV (66) Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville
2024	J	`jnl`	SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. CoRR Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville
2024	—	`conf`	Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning. ICASSP Workshops Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
2023	Misc	`conf`	Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling. ICASSP Bac Nguyen, Fabien Cardinaux, Stefan Uhlich
2023	Misc	`conf`	Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. ICASSP Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
2023	J	`jnl`	Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. CoRR Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
2023	—	`conf`	Resource orchestration and digitalisation at a public hospital in Vietnam. ACIS Duy Dang-Pham, Karlheinz Kautz, Mathews Nkhoma, Mai Do Thi Hoang, Phuong Do, Bac Nguyen
2023	A	`conf`	Towards Robust FastSpeech 2 by Modelling Residual Multimodality. INTERSPEECH Fabian Kögel, Bac Nguyen, Fabien Cardinaux
2023	J	`jnl`	Towards Robust FastSpeech 2 by Modelling Residual Multimodality. CoRR Fabian Kögel, Bac Nguyen, Fabien Cardinaux
2022	Misc	`conf`	NVC-Net: End-To-End Adversarial Voice Conversion. ICASSP Bac Nguyen, Fabien Cardinaux
2022	J	`jnl`	Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition. CoRR Marie Biolková, Bac Nguyen
2021	J	`jnl`	A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings. CoRR Vivek Chalumuri, Bac Nguyen
2021	J	`jnl`	Otolith identification using a deep hierarchical classification model. Comput. Electron. Agric. Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets
2020	J	`jnl`	Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing Bac Nguyen, Bernard De Baets
2020	J	`jnl`	Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Trans. Cybern. Bac Nguyen, Carlos Morell, Bernard De Baets
2019	J	`jnl`	An efficient method for clustered multi-metric learning. Inf. Sci. Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets
2019	J	`jnl`	Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification. IEEE Trans. Image Process. Bac Nguyen, Bernard De Baets
2019	J	`jnl`	Kernel-Based Distance Metric Learning for Supervised k-Means Clustering. IEEE Trans. Neural Networks Learn. Syst. Bac Nguyen, Bernard De Baets
2018	J	`jnl`	An approach to supervised distance metric learning based on difference of convex functions programming. Pattern Recognit. Bac Nguyen, Bernard De Baets
2018	J	`jnl`	Distance metric learning for ordinal classification based on triplet constraints. Knowl. Based Syst. Bac Nguyen, Carlos Morell, Bernard De Baets
2017	J	`jnl`	Distance metric learning with the Universum. Pattern Recognit. Lett. Bac Nguyen, Carlos Morell, Bernard De Baets
2017	B	`conf`	Distance metric learning: a two-phase approach. ESANN Bac Nguyen, Carlos Morell, Bernard De Baets
2017	J	`jnl`	Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognit. Bac Nguyen, Carlos Morell, Bernard De Baets
2016	J	`jnl`	Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing Bac Nguyen, Carlos Morell, Bernard De Baets