Exterior and Interior Sound Field Separation Using Convex Optimization: Comparison of Signal Models. - Yuhta Takida; Shoichi Koyama; Hiroshi Saruwatari (EUSIPCO, 2018)

Gridless Sound Field Decomposition Based on Reciprocity Gap Functional in Spherical Harmonic Domain. - Yuhta Takida; Shoichi Koyama; Natsuki Ueno; Hiroshi Saruwatari (SAM, 2018)

Robust Gridless Sound Field Decomposition Based on Structured Reciprocity Gap Functional in Spherical Harmonic Domain. - Yuhta Takida; Shoichi Koyama; Natsuki Ueno; Hiroshi Saruwatari (ICASSP, 2019)

Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting. - Yu Maeno; Yuhta Takida; Naoki Murata; Yuki Mitsufuji (ICASSP, 2020)

Reciprocity gap functional in spherical harmonic domain for gridless sound field decomposition. - Yuhta Takida; Shoichi Koyama; Natsuki Ueno; Hiroshi Saruwatari (Signal Process., 2020)

Fast Convergent Method for Active Noise Control Over Spatial Region with Causal Constraint. - Naoki Murata; Yuhta Takida; Tetsu Magariyachi (WASPAA, 2021)

Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE. - Yuhta Takida; Wei-Hsiang Liao 001; Toshimitsu Uesaka; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2021)

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. - Yuhta Takida; Takashi Shibuya 001; Wei-Hsiang Liao 001; Chieh-Hsin Lai; Junki Ohmura; Toshimitsu Uesaka; Naoki Murata; Shusuke Takahashi; Toshiyuki Kumakura; Yuki Mitsufuji (ICML, 2022)

Regularizing Score-based Models with Score Fokker-Planck Equations. - Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (CoRR, 2022)

A Versatile Diffusion-based Generative Refiner for Speech Enhancement. - Ryosuke Sawata; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Takashi Shibuya 001; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2022)

Preventing oversmoothing in VAE via generalized variance parameterization. - Yuhta Takida; Wei-Hsiang Liao 001; Chieh-Hsin Lai; Toshimitsu Uesaka; Shusuke Takahashi; Yuki Mitsufuji (Neurocomputing, 2022)

Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models. - Koichi Saito; Naoki Murata; Toshimitsu Uesaka; Chieh-Hsin Lai; Yuhta Takida; Takao Fukui; Yuki Mitsufuji (ICASSP, 2023)

FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation. - Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (ICML, 2023)

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. - Naoki Murata; Koichi Saito; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (ICML, 2023)

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement. - Ryosuke Sawata; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Takashi Shibuya 001; Shusuke Takahashi; Yuki Mitsufuji (INTERSPEECH, 2023)

Automatic Piano Transcription With Hierarchical Frequency-Time Transformer. - Keisuke Toyama 002; Taketo Akama; Yukara Ikemiya; Yuhta Takida; Wei-Hsiang Liao 001; Yuki Mitsufuji (ISMIR, 2023)

Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport. - Yuhta Takida; Masaaki Imaizumi; Chieh-Hsin Lai; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji (CoRR, 2023)

On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization. - Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji; Stefano Ermon (CoRR, 2023)

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. - Yuhta Takida; Masaaki Imaizumi; Takashi Shibuya 001; Chieh-Hsin Lai; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji (Zenodo, 2023)

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. - Yuhta Takida; Masaaki Imaizumi; Takashi Shibuya 001; Chieh-Hsin Lai; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji (Zenodo, 2023)

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network. - Takashi Shibuya 001; Yuhta Takida; Yuki Mitsufuji (Zenodo, 2023)

On the Language Encoder of Contrastive Cross-modal Models. - Mengjie Zhao; Junya Ono; Zhi Zhong; Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao 001; Takashi Shibuya 001; Hiromi Wakaki; Yuki Mitsufuji (ACL (Findings), 2024)

BIGVSAN: Enhancing Gan-Based Neural Vocoders with Slicing Adversarial Network. - Takashi Shibuya 001; Yuhta Takida; Yuki Mitsufuji (ICASSP, 2024)

Manifold Preserving Guided Diffusion. - Yutong He; Naoki Murata; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Dongjun Kim; Wei-Hsiang Liao 001; Yuki Mitsufuji; J. Zico Kolter; Ruslan Salakhutdinov; Stefano Ermon (ICLR, 2024)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao 001; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Yutong He; Yuki Mitsufuji; Stefano Ermon (ICLR, 2024)

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. - Yuhta Takida; Masaaki Imaizumi; Takashi Shibuya 001; Chieh-Hsin Lai; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji (ICLR, 2024)

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. - Dongjun Kim; Chieh-Hsin Lai; Wei-Hsiang Liao 001; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon (NeurIPS, 2024)

Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information. - Toshimitsu Uesaka; Taiji Suzuki; Yuhta Takida; Chieh-Hsin Lai; Naoki Murata; Yuki Mitsufuji (CoRR, 2024)

SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. - Koichi Saito; Dongjun Kim; Takashi Shibuya 001; Chieh-Hsin Lai; Zhi Zhong; Yuhta Takida; Yuki Mitsufuji (CoRR, 2024)

MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training. - Kengo Uchida; Takashi Shibuya 001; Yuhta Takida; Naoki Murata; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2024)

DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation. - Yin-Jyun Luo; Kin Wai Cheuk; Woosung Choi; Toshimitsu Uesaka; Keisuke Toyama 002; Koichi Saito; Chieh-Hsin Lai; Yuhta Takida; Wei-Hsiang Liao 001; Simon Dixon; Yuki Mitsufuji (CoRR, 2024)

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2024)

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. - Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Yuki Mitsufuji (CoRR, 2024)

Distillation of Discrete Diffusion through Dimensional Correlations. - Satoshi Hayakawa; Yuhta Takida; Masaaki Imaizumi; Hiromi Wakaki; Yuki Mitsufuji (CoRR, 2024)

G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving. - Naoki Murata; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Bac Nguyen; Stefano Ermon; Yuki Mitsufuji (CoRR, 2024)

Mitigating Embedding Collapse in Diffusion Models for Categorical Data. - Bac Nguyen; Chieh-Hsin Lai; Yuhta Takida; Naoki Murata; Toshimitsu Uesaka; Stefano Ermon; Yuki Mitsufuji (CoRR, 2024)

TraSCE: Trajectory Steering for Concept Erasure. - Anubhav Jain 002; Yuya Kobayashi; Takashi Shibuya 001; Yuhta Takida; Nasir D. Memon; Julian Togelius; Yuki Mitsufuji (CoRR, 2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. - Yuhta Takida; Yukara Ikemiya; Takashi Shibuya 001; Kazuki Shimada; Woosung Choi; Chieh-Hsin Lai; Naoki Murata; Toshimitsu Uesaka; Kengo Uchida; Wei-Hsiang Liao 001; Yuki Mitsufuji (Trans. Mach. Learn. Res., 2024)

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. - Yuhta Takida; Masaaki Imaizumi; Takashi Shibuya 001; Chieh-Hsin Lai; Toshimitsu Uesaka; Naoki Murata; Yuki Mitsufuji (Zenodo, 2024)

Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization. - Anubhav Jain 002; Yuya Kobayashi; Takashi Shibuya 001; Yuhta Takida; Nasir D. Memon; Julian Togelius; Yuki Mitsufuji (CVPR, 2025)

MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training. - Kengo Uchida; Takashi Shibuya 001; Yuhta Takida; Naoki Murata; Julian Tanke; Shusuke Takahashi; Yuki Mitsufuji (CVPR Workshops, 2025)

Variable Bitrate Residual Vector Quantization for Audio Coding. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2025)

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. - Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Yuki Mitsufuji (ICLR, 2025)

SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation. - Koichi Saito; Dongjun Kim; Takashi Shibuya 001; Chieh-Hsin Lai; Zhi Zhong; Yuhta Takida; Yuki Mitsufuji (ICLR, 2025)

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric. - Toshimitsu Uesaka; Taiji Suzuki; Yuhta Takida; Chieh-Hsin Lai; Naoki Murata; Yuki Mitsufuji (ICLR, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving. - Naoki Murata; Chieh-Hsin Lai; Yuhta Takida; Toshimitsu Uesaka; Bac Nguyen; Stefano Ermon; Yuki Mitsufuji (Trans. Mach. Learn. Res., 2025)

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models. - Zerui Tao; Yuhta Takida; Naoki Murata; Qibin Zhao; Yuki Mitsufuji (CoRR, 2025)

Training Consistency Models with Variational Noise Coupling. - Gianluigi Silvestri; Luca Ambrogioni; Chieh-Hsin Lai; Yuhta Takida; Yuki Mitsufuji (CoRR, 2025)

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image. - Anubhav Jain 002; Yuya Kobayashi; Naoki Murata; Yuhta Takida; Takashi Shibuya 001; Yuki Mitsufuji; Niv Cohen; Nasir D. Memon; Julian Togelius (CoRR, 2025)

Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity. - Yuya Kobayashi; Yuhta Takida; Takashi Shibuya 001; Yuki Mitsufuji (CoRR, 2025)

Large-Scale Training Data Attribution for Music Generative Models via Unlearning. - Woosung Choi; Junghyun Koo; Kin Wai Cheuk; Joan Serrà; Marco A. Martínez Ramírez; Yukara Ikemiya; Naoki Murata; Yuhta Takida; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2025)

Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution. - Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao 001; Woosung Choi; Kin Wai Cheuk; Junghyun Koo; Yuki Mitsufuji (CoRR, 2025)

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation. - Anshuk Uppal; Yuhta Takida; Chieh-Hsin Lai; Yuki Mitsufuji (CoRR, 2025)

Theory-Informed Improvements to Classifier-Free Guidance for Discrete Diffusion Models. - Kevin Rojas; Ye He 003; Chieh-Hsin Lai; Yuhta Takida; Yuki Mitsufuji; Molei Tao (CoRR, 2025)