Computation Control by Prioritized ET Rules. - Kiyoshi Akama; Ekawit Nantajeewarawat; Taketo Akama (KEOD, 2018)

Side-Change Transformation. - Kiyoshi Akama; Ekawit Nantajeewarawat; Taketo Akama (KEOD, 2018)

Logical Problem Solving Framework. - Kiyoshi Akama; Ekawit Nantajeewarawat; Taketo Akama (ACIIDS (1), 2019)

Term Rewriting that Preserves Models in KR-Logic. - Kiyoshi Akama; Ekawit Nantajeewarawat; Taketo Akama (ACIIDS (1), 2019)

Controlling Symbolic Music Generation based on Concept Learning from Domain Knowledge. - Taketo Akama (ISMIR, 2019)

Connective Fusion: Learning Transformational Joining of Sequences with Application to Melody Creation. - Taketo Akama (ISMIR, 2020)

A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence. - Taketo Akama (ISMIR, 2021)

GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning. - Gaku Narita; Junichi Shimizu; Taketo Akama (ICASSP, 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)

Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging. - Taketo Akama; Hiroaki Kitano; Katsuhiro Takematsu; Yasushi Miyajima; Natalia Polouliakh (CoRR, 2023)

Hyperganstrument: Instrument Sound Synthesis and Editing With Pitch-Invariant Hypernetworks. - Zhe Zhang 050; Taketo Akama (ICASSP, 2024)

Annotation-Free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion. - Gakusei Sato; Taketo Akama (ICME, 2024)

Music Proofreading With RefinPaint: Where and How to Modify Compositions Given Context. - Pedro Ramoneda; Martín Rocamora; Taketo Akama (ISMIR, 2024)

HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks. - Zhe Zhang; Taketo Akama (CoRR, 2024)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Taketo Akama (CoRR, 2024)

A Preliminary Investigation on Flexible Singing Voice Synthesis Through Decomposed Framework with Inferrable Features. - Lester Phillip Violeta; Taketo Akama (CoRR, 2024)

Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement. - Osamu Take; Taketo Akama (CoRR, 2024)

Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings. - Taketo Akama; Zhuohao Zhang; Pengcheng Li; Kotaro Hongo; Hiroaki Kitano; Shun Minamikawa; Natalia Polouliakh (CoRR, 2024)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Luca Cosmo; Taketo Akama (ICASSP, 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)