Chieh-Hsin Lai

CoRR, April, 2025

Training Consistency Models with Variational Noise Coupling.

[BibT_eX]

[DOI]

CoRR, February, 2025

Consistency Training with Physical Constraints.

[BibT_eX]

[DOI]

CoRR, February, 2025

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Music Foundation Model as Generic Booster for Music Downstream Tasks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

[BibT_eX]

[DOI]

Wei-Hsiang Liao

Giorgio Fabbro

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer.

[BibT_eX]

[DOI]

Dataset, April, 2024

The Sound Demixing Challenge 2023 - Music Demixing Track.

[BibT_eX]

[DOI]

Trans. Int. Soc. Music. Inf. Retr., January, 2024

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Mitigating Embedding Collapse in Diffusion Models for Categorical Data.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

<i>Jump Your Steps</i>: Optimizing Sampling Schedule of Discrete Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.

[BibT_eX]

[DOI]

CoRR, 2024

Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space.

[BibT_eX]

[DOI]

Yangming Li

Carola-Bibiane Schönlieb

Stefano Ermon

CoRR, 2024

A Survey on Diffusion Models for Inverse Problems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Mauricio Delbracio

CoRR, 2024

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer.

[BibT_eX]

[DOI]

Wei-Hsiang Liao

Giorgio Fabbro

CoRR, 2024

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2024

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Manifold Preserving Guided Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance.

[BibT_eX]

[DOI]

Carlos Hernandez-Olivan

Koichi Saito

Naoki Murata

Wei-Hsiang Liao

Proceedings of the IEEE International Conference on Acoustics, 2024

On the Language Encoder of Contrastive Cross-modal Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer.

[BibT_eX]

[DOI]

Dataset, July, 2023

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer.

[BibT_eX]

[DOI]

Dataset, July, 2023

On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2023

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection.

[BibT_eX]

[DOI]

Dongmian Zou

Gilad Lerman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Preventing oversmoothing in VAE via generalized variance parameterization.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Regularizing Score-based Models with Score Fokker-Planck Equations.

[BibT_eX]

[DOI]

CoRR, 2022

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2020

Novelty Detection via Robust Variational Autoencoding.

[BibT_eX]

[DOI]

Dongmian Zou

Gilad Lerman

CoRR, 2020

Inverse Problems, Deep Learning, and Symmetry Breaking.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Subspace Recovery Layer for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]