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Chieh-Hsin Lai
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2020 – today
- 2024
- [j3]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
:
The Sound Demixing Challenge 2023 - Music Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 7(1): 63-84 (2024) - [j2]Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji:
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. ICASSP 2024: 596-600 - [c9]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:
Manifold Preserving Guided Diffusion. ICLR 2024 - [c8]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon:
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. ICLR 2024 - [c7]Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji:
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. ICLR 2024 - [i19]Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. CoRR abs/2401.00365 (2024) - [i18]Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji:
Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information. CoRR abs/2404.19228 (2024) - [i17]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. CoRR abs/2405.14822 (2024) - [i16]Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji:
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. CoRR abs/2405.17251 (2024) - [i15]Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji:
SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. CoRR abs/2405.18503 (2024) - 2023
- [c6]Chieh-Hsin Lai, Dongmian Zou
, Gilad Lerman:
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS 2023: 3538-3567 - [c5]Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji:
Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models. ICASSP 2023: 1-5 - [c4]Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation. ICML 2023: 18365-18398 - [c3]Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. ICML 2023: 25501-25522 - [i14]Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. CoRR abs/2301.12686 (2023) - [i13]Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji:
Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport. CoRR abs/2301.12811 (2023) - [i12]Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon:
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization. CoRR abs/2306.00367 (2023) - [i11]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:
The Sound Demixing Challenge 2023 - Music Demixing Track. CoRR abs/2308.06979 (2023) - [i10]Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji:
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. CoRR abs/2309.06934 (2023) - [i9]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon:
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. CoRR abs/2310.02279 (2023) - [i8]Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji:
On the Language Encoder of Contrastive Cross-modal Models. CoRR abs/2310.13267 (2023) - [i7]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:
Manifold Preserving Guided Diffusion. CoRR abs/2311.16424 (2023) - 2022
- [j1]Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji:
Preventing oversmoothing in VAE via generalized variance parameterization. Neurocomputing 509: 137-156 (2022) - [c2]Yuhta Takida, Takashi Shibuya
, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji:
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. ICML 2022: 20987-21012 - [i6]Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji:
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. CoRR abs/2205.07547 (2022) - [i5]Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
Regularizing Score-based Models with Score Fokker-Planck Equations. CoRR abs/2210.04296 (2022) - [i4]Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji:
Unsupervised vocal dereverberation with diffusion-based generative models. CoRR abs/2211.04124 (2022) - 2020
- [c1]Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman:
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR 2020 - [i3]Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun:
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR abs/2003.09077 (2020) - [i2]Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman:
Novelty Detection via Robust Variational Autoencoding. CoRR abs/2006.05534 (2020)
2010 – 2019
- 2019
- [i1]Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman:
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR abs/1904.00152 (2019)
Coauthor Index
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last updated on 2024-08-10 01:25 CEST by the dblp team
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