Chieh-Hsin Lai

69 papers A* 15A 1B 1Misc 3Journal 48Unranked 1

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
2026	J	`jnl`	Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training. CoRR Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2026	A*	`conf`	SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. AAAI Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji
2026	J	`jnl`	TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs. CoRR Chen-Yang Dai, Che-Chia Chang, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2025	J	`jnl`	CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models. CoRR Zheyuan Hu, Chieh-Hsin Lai, Yuki Mitsufuji, Stefano Ermon
2025	J	`jnl`	Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution. CoRR Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji
2025	J	`jnl`	Consistency Training with Physical Constraints. CoRR Che-Chia Chang, Chen-Yang Dai, Te-Sheng Lin, Ming-Chih Lai, Chieh-Hsin Lai
2025	J	`jnl`	Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation. CoRR Anshuk Uppal, Yuhta Takida, Chieh-Hsin Lai, Yuki Mitsufuji
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	A*	`conf`	HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. ICLR Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, 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	A*	`conf`	Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. ICLR Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji
2025	Misc	`conf`	Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. ICASSP Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji
2025	J	`jnl`	MeanFlow Transformers with Representation Autoencoders. CoRR Zheyuan Hu, Chieh-Hsin Lai, Ge Wu, Yuki Mitsufuji, Stefano Ermon
2025	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. Trans. Mach. Learn. Res. Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, 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
2025	A*	`conf`	SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation. ICLR Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji
2025	J	`jnl`	SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. CoRR Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji
2025	J	`jnl`	The Principles of Diffusion Models. CoRR Chieh-Hsin Lai, Yang Song, Dongjun Kim, Yuki Mitsufuji, Stefano Ermon
2025	J	`jnl`	Theory-Informed Improvements to Classifier-Free Guidance for Discrete Diffusion Models. CoRR Kevin Rojas, Ye He, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji, Molei Tao
2025	J	`jnl`	Training Consistency Models with Variational Noise Coupling. CoRR Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji
2025	A*	`conf`	VCT: Training Consistency Models with Variational Noise Coupling. ICML Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji
2025	A*	`conf`	Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric. ICLR Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
2024	J	`jnl`	A Survey on Diffusion Models for Inverse Problems. CoRR Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio
2024	J	`jnl`	Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space. CoRR Yangming Li, Chieh-Hsin Lai, Carola-Bibiane Schönlieb, Yuki Mitsufuji, Stefano Ermon
2024	A*	`conf`	Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. ICLR Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
2024	J	`jnl`	DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. CoRR Yin-Jyun Luo, Kin Wai Cheuk, Woosung Choi, Toshimitsu Uesaka, Keisuke Toyama, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Wei-Hsiang Liao, Simon Dixon, 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	A*	`conf`	GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. NeurIPS Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji
2024	J	`jnl`	GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. CoRR Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji
2024	J	`jnl`	HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. CoRR Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
2024	J	`jnl`	HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. Trans. Mach. Learn. Res. Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
2024	J	`jnl`	Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. CoRR Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji
2024	J	`jnl`	Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji
2024	A*	`conf`	Manifold Preserving Guided Diffusion. ICLR Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
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	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji
2024	—	`conf`	On the Language Encoder of Contrastive Cross-modal Models. ACL (Findings) Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji
2024	A*	`conf`	PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. NeurIPS Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2024	J	`jnl`	PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. CoRR Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2024	A*	`conf`	SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. ICLR Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
2024	J	`jnl`	SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. CoRR Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji
2024	J	`jnl`	The Sound Demixing Challenge 2023 - Music Demixing Track. Trans. Int. Soc. Music. Inf. Retr. Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
2024	J	`jnl`	Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information. CoRR Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
2024	Misc	`conf`	VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. ICASSP Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji
2023	J	`jnl`	Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport. CoRR Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
2023	J	`jnl`	Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. CoRR Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
2023	A*	`conf`	FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation. ICML Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023	A*	`conf`	GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. ICML Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023	J	`jnl`	GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. CoRR Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2023	J	`jnl`	Manifold Preserving Guided Diffusion. CoRR Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
2023	J	`jnl`	On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization. CoRR Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon
2023	J	`jnl`	On the Language Encoder of Contrastive Cross-modal Models. CoRR Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji
2023	A	`conf`	Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2023	J	`jnl`	The Sound Demixing Challenge 2023 - Music Demixing Track. CoRR Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
2023	Misc	`conf`	Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models. ICASSP Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
2023	J	`jnl`	VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. CoRR Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji
2022	J	`jnl`	Preventing oversmoothing in VAE via generalized variance parameterization. Neurocomputing Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji
2022	J	`jnl`	Regularizing Score-based Models with Score Fokker-Planck Equations. CoRR Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
2022	A*	`conf`	SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. ICML Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
2022	J	`jnl`	SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. CoRR Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
2022	J	`jnl`	Unsupervised vocal dereverberation with diffusion-based generative models. CoRR Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
2020	J	`jnl`	Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
2020	J	`jnl`	Novelty Detection via Robust Variational Autoencoding. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2020	A*	`conf`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2019	J	`jnl`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman