Asaki Kataoka, Yoshihiro Nagano, and Masafumi Oizumi (2025). Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects. Frontiers in Computational Neuroscience, 19:1613291.
[Publisher site] [arXiv]
Kohei Ichikawa and Asaki Kataoka (2022). Dynamical Mechanism of Sampling-based Probabilistic Inference under Probabilistic Population Codes. Neural Computation, 34 (3): 804--827.
[Publisher site] [arXiv]
Asaki Kataoka, Manabu Sasayama, and Kazuyuki Matsumoto (2021). Data Augmentation for Lyrics Emotion Estimation. ASM Science Journal, 13 (SI 3): 11--16.
[Publisher site]
Asaki Kataoka, Nipun Raviundu Wickramanayaka, Yu Togashi, and Masafumi Oizumi (2025). Spontaneous organization of diverse human color representations: from trichromacy to dichromacy in neural networks trained with retina-like inputs. 24th International Conference on Machine Learning and Applications (ICMLA 2025).
[Publisher site]
Fadi Boutros, ..., Asaki Kataoka, ... (2021). MFR 2021: Masked Face Recognition Competition. 2021 IEEE International Joint Conference on Biometrics (IJCB2021).
[Publisher site] [arXiv]
Asaki Kataoka and Kenji Doya (2026). Extended predictive coding framework as variational free-energy minimisation under exponential-family assumption. arXiv:2605.30882.
Asaki Kataoka (2022). Simulation of Colour Development in Artificial Neural Networks. 2nd Grant Meeting of Qualia Structure Project (KAKENHI Transformative Research Areas)
Asaki Kataoka and Masafumi Oizumi (2022). Novel Concept Learning after Unsupervised Representation Learning. 2nd Grant Meeting of Qualia Structure Project (KAKENHI Transformative Research Areas)
Asaki Kataoka, (Nipun Ravindu Wickramanayaka,) and Masafumi Oizumi (2024). 34th annual conference of the Japanese Neural Network Society. ※N. R. Wickramanayaka did not appear in the author list for submission, but contributed to post-submission analyses.
Asaki Kataoka, Yoshihiro Nagano, and Masafumi Oizumi (2022). Novel Concept Learning in Latent Space Obtained Through Unsupervised Learning. NEURO2022; 32nd annual conference of the Japanese Neural Network Society.
片岡 麻輝, and 大泉 匡史 (2021). 色のカテゴリカルな神経表現の獲得. 31st annual conference of the Japanese Neural Network Society.
片岡 麻輝, 矢田 紀子, and 眞鍋 佳嗣 (2021). 色恒常性を獲得したCNNの内部特徴表現に関する研究. Vision Information SIG, The Color Science Association of Japan.
市川 航平 and 片岡 麻輝 (2020). 神経ネットワークにおける確率的推論のメカニズム. 30th annual conference of the Japanese Neural Network Society.
片岡 麻輝, 矢田 紀子, and 眞鍋 佳嗣 (2020). バッチノーマライゼーションを含む順伝播型CNNにおける色恒常性の解析. Annual convention of The Institute of Image Information and Television Engineers.
片岡 麻輝, 篠山 学, and 松本 和幸 (2018). 歌詞感情コーパスの拡張についての検討. 82th SIG on Spoken Language Understanding and Dialogue Processing, The Japanese Society for Artificial Intelligence.