| 2026 | EACL | Cross-lingual and Word-Independent Methods for Quantifying Degree of Grammaticalization. | Ryo Nagata, Daichi Mochihashi, Misato Ido, Yusuke Kubota, Naoki Otani, Yoshifumi Kawasaki, Hiroya Takamura |
| 2025 | COLING | Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices. | Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi |
| 2025 | IECON | Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process. | Issei Saito, Masatoshi Nagano, Tomoaki Nakamura, Daichi Mochihashi, Koki Mimura |
| 2024 | ACL | Learning Adverbs with Spectral Mixture Kernels. | Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi |
| 2023 | ACL | Scale-Invariant Infinite Hierarchical Topic Model. | Shusei Eshima, Daichi Mochihashi |
| 2023 | ACL | Holographic CCG Parsing. | Ryosuke Yamaki, Tadahiro Taniguchi, Daichi Mochihashi |
| 2023 | ICANN | Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry. | Anna Sato, Junichi Chikazoe, Shotaro Funai, Daichi Mochihashi, Yutaka Shikano, Masayuki Asahara, Satoshi Iso, Ichiro Kobayashi |
| 2022 | EMNLP | Infinite SCAN: An Infinite Model of Diachronic Semantic Change. | Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi |
| 2022 | ICDE | Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. | Hiroshi Uehara, Daichi Mochihashi |
| 2021 | PACLIC | A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. | Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi |
| 2020 | COLING | How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. | Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi |
| 2019 | ICDAR | Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation. | Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly |
| 2019 | IROS | High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. | Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano |
| 2018 | IROS | Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process. | Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko |
| 2017 | IJCAI | Learning Co-Substructures by Kernel Dependence Maximization. | Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. | Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi |
| 2017 | Interspeech | Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. | Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig |
| 2015 | ACL | Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. | Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi |
| 2015 | EMNLP | Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments. | Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh |
| 2014 | ICASSP | Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations. | Yasunori Ohishi, Daichi Mochihashi, Hirokazu Kameoka, Kunio Kashino |
| 2013 | EMNLP | Improvements to the Bayesian Topic N-Gram Models. | Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao |
| 2013 | ICASSP | Bayesian semi-supervised audio event transcription based on Markov indian buffet process. | Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino |
| 2013 | ICML | Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. | Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto |
| 2012 | Interspeech | A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. | Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino |
| 2011 | ICASSP | Gibbs sampling based Multi-scale Mixture Model for speaker clustering. | Shinji Watanabe, Daichi Mochihashi, Takaaki Hori, Atsushi Nakamura |
| 2010 | ACL | Learning Common Grammar from Multilingual Corpus. | Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada |
| 2010 | Interspeech | Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases. | Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino |
| 2009 | ACL | Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. | Daichi Mochihashi, Takeshi Yamada, Naonori Ueda |
| 2006 | ICDE | Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. | Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto |
| 2004 | EMNLP | Learning Nonstructural Distance Metric by Minimum Cluster Distortion. | Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita |