An Image Processing Platform for Expendable Bio-sensing System with Arrayed Biosensor and Embedded Imager. - Naoki Murata; Ryota Imamura; Weiwei Du; Masayuki Fukuzawa; Minoru Noda (ACIT-CSI, 2015)

Sparse sound field decomposition using group sparse Bayesian learning. - Shoichi Koyama; Atsushi Matsubayashi; Naoki Murata; Hiroshi Saruwatari (APSIPA, 2015)

Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (CAMSAP, 2015)

Structured sparse signal models and decomposition algorithm for super-resolution in sound field recording and reproduction. - Shoichi Koyama; Naoki Murata; Hiroshi Saruwatari (ICASSP, 2015)

Reverberation-robust underdetermined source separation with non-negative tensor double deconvolution. - Naoki Murata; Hirokazu Kameoka; Keisuke Kinoshita; Shoko Araki; Tomohiro Nakatani; Shoichi Koyama; Hiroshi Saruwatari (EUSIPCO, 2016)

Sparse sound field decomposition with multichannel extension of complex NMF. - Naoki Murata; Shoichi Koyama; Hirokazu Kameoka; Norihiro Takamune; Hiroshi Saruwatari (ICASSP, 2016)

Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (ICASSP, 2017)

Multidimensional Unfolding Based on Stochastic Neighbor Relationship. - Naoki Murata; Jun Kitazono; Seiichi Ozawa (ICMLC, 2017)

A Label-Free Fluorescent Array Sensor Utilizing Liposome Encapsulating Calcein for Discriminating Target Proteins by Principal Component Analysis. - Ryota Imamura; Naoki Murata; Toshinori Shimanouchi; Kaoru Yamashita; Masayuki Fukuzawa; Minoru Noda (Sensors, 2017)

Proposition of VR-MR Hybrid System for Sharing Living-in-Room. - Naoki Murata; Satoshi Suga; Eichi Takaya; Satoshi Ueno; Yoji Kiyota; Satoshi Kurihara (RETech@ICMR, 2018)

SoundPond: Making Sound Visible and Intuitively Manipulable. - Naoki Murata; Yoshinobu Tonomura (ISS, 2018)

Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (IEEE Trans. Signal Process., 2018)

Global and Local Mode-domain Adaptive Algorithms for Spatial Active Noise Control Using Higher-order Sources. - Naoki Murata; Jihui Zhang 006; Yu Maeno; Yuki Mitsufuji (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)

Spherical-Harmonic-Domain Feedforward Active Noise Control Using Sparse Decomposition of Reference Signals from Distributed Sensor Arrays. - Yu Maeno; Yuki Mitsufuji; Prasanga N. Samarasinghe; Naoki Murata; Thushara D. Abhayapala (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

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

Music Source Separation With Deep Equilibrium Models. - Yuichiro Koyama; Naoki Murata; Stefan Uhlich; Giorgio Fabbro; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2022)

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)

Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. - Kin Wai Cheuk; Ryosuke Sawata; Toshimitsu Uesaka; Naoki Murata; Naoya Takahashi; Shusuke Takahashi; Dorien Herremans; Yuki Mitsufuji (ICASSP, 2023)

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)

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)

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)

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. - Carlos Hernandez-Olivan; Koichi Saito; Naoki Murata; Chieh-Hsin Lai; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; 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)

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models. - Yixiao Zhang 002; Yukara Ikemiya; Gus Xia; Naoki Murata; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Yuki Mitsufuji; Simon Dixon (IJCAI, 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)

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. - Junyoung Seo; Kazumi Fukuda; Takashi Shibuya 001; Takuya Narihira; Naoki Murata; Shoukang Hu; Chieh-Hsin Lai; Seungryong Kim; Yuki Mitsufuji (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)

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning. - Yixiao Zhang 002; Yukara Ikemiya; Woosung Choi; Naoki Murata; Marco A. Martínez Ramírez; Liwei Lin; Gus Xia; Wei-Hsiang Liao 001; Yuki Mitsufuji; Simon Dixon (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)

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. - Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya 001; Wei-Hsiang Liao 001; Shao-Hua Sun; 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)

Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion. - Michail Dontas; Yutong He; Naoki Murata; Yuki Mitsufuji; J. Zico Kolter; Ruslan Salakhutdinov (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)

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)

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. - Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya 001; Wei-Hsiang Liao 001; Shao-Hua Sun; 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)

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. - Yutong He; Alexander Robey; Naoki Murata; Yiding Jiang; Joshua Nathaniel Williams; George J. Pappas; Hamed Hassani; Yuki Mitsufuji; Ruslan Salakhutdinov; J. Zico Kolter (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)

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. - Xinlei Niu; Kin Wai Cheuk; Jing Zhang 052; Naoki Murata; Chieh-Hsin Lai; Michele Mancusi; Woosung Choi; Giorgio Fabbro; Wei-Hsiang Liao 001; Charles Patrick Martin; 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)

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)

Schrödinger Bridge Consistency Trajectory Models for Speech Enhancement. - Shuichiro Nishigori; Koichi Saito; Naoki Murata; Masato Hirano; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2025)