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ORCIDYuhta Takida
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2020 – today
- 2024
[j3]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)- [c16]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. ACL (Findings) 2024: 4923-4940 - [c15]Takashi Shibuya
, Yuhta Takida, Yuki Mitsufuji:
BIGVSAN: Enhancing Gan-Based Neural Vocoders with Slicing Adversarial Network. ICASSP 2024: 10121-10125 - [c14]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 - [c13]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 - [c12]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 - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]Kengo Uchida, Takashi Shibuya, Yuhta Takida, Naoki Murata, Shusuke Takahashi, Yuki Mitsufuji:
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training. CoRR abs/2406.01867 (2024) - [i20]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:
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. CoRR abs/2408.10807 (2024) - [i19]Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji:
VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. CoRR abs/2410.06016 (2024) - [i18]Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji:
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. CoRR abs/2410.07761 (2024) - [i17]Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji:
Distillation of Discrete Diffusion through Dimensional Correlations. CoRR abs/2410.08709 (2024) - [i16]Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji:
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving. CoRR abs/2410.14710 (2024) - [i15]Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji:
Mitigating Embedding Collapse in Diffusion Models for Categorical Data. CoRR abs/2410.14758 (2024) - [i14]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:
Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR abs/2411.01135 (2024) - 2023
- [c11]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 - [c10]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 - [c9]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 - [c8]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement. INTERSPEECH 2023: 3824-3828 - [c7]Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji:
Automatic Piano Transcription With Hierarchical Frequency-Time Transformer. ISMIR 2023: 215-222 - [i13]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) - [i12]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) - [i11]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) - [i10]Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki Mitsufuji:
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer. CoRR abs/2307.04305 (2023) - [i9]Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji:
BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network. CoRR abs/2309.02836 (2023) - [i8]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) - [i7]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) - [i6]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
- [j2]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) - [c6]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 - [i5]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) - [i4]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) - [i3]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
A Versatile Diffusion-based Generative Refiner for Speech Enhancement. CoRR abs/2210.17287 (2022) - [i2]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) - 2021
- [c5]Naoki Murata, Yuhta Takida, Tetsu Magariyachi:
Fast Convergent Method for Active Noise Control Over Spatial Region with Causal Constraint. WASPAA 2021: 296-300 - [i1]Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji:
Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE. CoRR abs/2102.08663 (2021) - 2020
- [j1]Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Reciprocity gap functional in spherical harmonic domain for gridless sound field decomposition. Signal Process. 169: 107383 (2020) - [c4]Yu Maeno, Yuhta Takida, Naoki Murata, Yuki Mitsufuji:
Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting. ICASSP 2020: 8414-8418
2010 – 2019
- 2019
- [c3]Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Robust Gridless Sound Field Decomposition Based on Structured Reciprocity Gap Functional in Spherical Harmonic Domain. ICASSP 2019: 581-585 - 2018
- [c2]Yuhta Takida, Shoichi Koyama, Hiroshi Saruwatari:
Exterior and Interior Sound Field Separation Using Convex Optimization: Comparison of Signal Models. EUSIPCO 2018: 2549-2553 - [c1]Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Gridless Sound Field Decomposition Based on Reciprocity Gap Functional in Spherical Harmonic Domain. SAM 2018: 627-631
Coauthor Index
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