Learning Nonstructural Distance Metric by Minimum Cluster Distortion. - Daichi Mochihashi; Gen-ichiro Kikui; Kenji Kita (EMNLP, 2004)

Context as Filtering. - Daichi Mochihashi; Yuji Matsumoto 001 (NIPS, 2005)

Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. - Takahiko Ito; Masashi Shimbo; Daichi Mochihashi; Yuji Matsumoto 001 (ICDE Workshops, 2006)

The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation. - Ruiqiang Zhang; Hirofumi Yamamoto; Michael Paul; Hideo Okuma; Keiji Yasuda; Yves Lepage; Etienne Denoual; Daichi Mochihashi; Andrew M. Finch; Eiichiro Sumita (IWSLT, 2006)

Exploring Multiple Communities with Kernel-Based Link Analysis. - Takahiko Ito; Masashi Shimbo; Daichi Mochihashi; Yuji Matsumoto 001 (PKDD, 2006)

Learning an optimal distance metric in a linguistic vector space. - Daichi Mochihashi; Gen-ichiro Kikui; Kenji Kita (Syst. Comput. Jpn., 2006)

The Infinite Markov Model. - Daichi Mochihashi; Eiichiro Sumita (NIPS, 2007)

Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. - Daichi Mochihashi; Takeshi Yamada; Naonori Ueda (ACL/IJCNLP, 2009)

On the properties of von Neumann kernels for link analysis. - Masashi Shimbo; Takahiko Ito; Daichi Mochihashi; Yuji Matsumoto 001 (Mach. Learn., 2009)

Learning Common Grammar from Multilingual Corpus. - Tomoharu Iwata; Daichi Mochihashi; Hiroshi Sawada (ACL (2), 2010)

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 (INTERSPEECH, 2010)

Gibbs sampling based Multi-scale Mixture Model for speaker clustering. - Shinji Watanabe 001; Daichi Mochihashi; Takaaki Hori; Atsushi Nakamura (ICASSP, 2011)

A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. - Yasunori Ohishi; Hirokazu Kameoka; Daichi Mochihashi; Kunio Kashino (INTERSPEECH, 2012)

Improvements to the Bayesian Topic N-Gram Models. - Hiroshi Noji; Daichi Mochihashi; Yusuke Miyao (EMNLP, 2013)

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 (ICASSP, 2013)

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. - Kazuyoshi Yoshii; Ryota Tomioka; Daichi Mochihashi; Masataka Goto (ICML (3), 2013)

Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. - Kazuyoshi Yoshii; Ryota Tomioka; Daichi Mochihashi; Masataka Goto (ISMIR, 2013)

Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations. - Yasunori Ohishi; Daichi Mochihashi; Hirokazu Kameoka; Kunio Kashino (ICASSP, 2014)

Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. - Kei Uchiumi; Hiroshi Tsukahara; Daichi Mochihashi (ACL (1), 2015)

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 (EMNLP, 2015)

Human-like Natural Language Generation Using Monte Carlo Tree Search. - Kaori Kumagai; Ichiro Kobayashi; Daichi Mochihashi; Hideki Asoh; Tomoaki Nakamura; Takayuki Nagai (CC-NLG, 2016)

Musical Typicality: How Many Similar Songs Exist?. - Tomoyasu Nakano; Daichi Mochihashi; Kazuyoshi Yoshii; Masataka Goto (ISMIR, 2016)

Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models. - Muhammad Attamimi; Yuji Ando; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Hideki Asoh (Adv. Robotics, 2016)

Suggesting Sentences for ESL using Kernel Embeddings. - Kent Shioda; Mamoru Komachi; Rue Ikeya; Daichi Mochihashi (NLP-TEA@IJCNLP, 2017)

Learning Co-Substructures by Kernel Dependence Maximization. - Sho Yokoi; Daichi Mochihashi; Ryo Takahashi; Naoaki Okazaki; Kentaro Inui (IJCAI, 2017)

MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. - Tomoyuki Kajiwara; Mamoru Komachi; Daichi Mochihashi (IJCNLP(1), 2017)

Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. - Takahiro Shinozaki; Shinji Watanabe 001; Daichi Mochihashi; Graham Neubig (INTERSPEECH, 2017)

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes. - Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Hideki Asoh; Masahide Kaneko (Frontiers Neurorobotics, 2017)

Nonparametric Bayesian Semi-supervised Word Segmentation. - Ryo Fujii; Ryo Domoto; Daichi Mochihashi (Trans. Assoc. Comput. Linguistics, 2017)

A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction. - Amir Aly; Tadahiro Taniguchi; Daichi Mochihashi (Humanoids, 2018)

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 (IROS, 2018)

Natural Language Generation Using Monte Carlo Tree Search. - Kaori Kumagai; Ichiro Kobayashi; Daichi Mochihashi; Hideki Asoh; Tomoaki Nakamura; Takayuki Nagai (J. Adv. Comput. Intell. Intell. Informatics, 2018)

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 (HIP@ICDAR, 2019)

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Wataru Takano (IROS, 2019)

Survey on frontiers of language and robotics. - Tadahiro Taniguchi; Daichi Mochihashi; Takayuki Nagai; Satoru Uchida; Naoya Inoue; Ichiro Kobayashi; Tomoaki Nakamura; Yoshinobu Hagiwara; Naoto Iwahashi; Tetsunari Inamura (Adv. Robotics, 2019)

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Wataru Takano (Frontiers Robotics AI, 2019)

How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. - Chihiro Shibata; Kei Uchiumi; Daichi Mochihashi (COLING, 2020)

A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. - Taichi Aida; Mamoru Komachi; Toshinobu Ogiso; Hiroya Takamura; Daichi Mochihashi (PACLIC, 2021)

Editorial: Language and Robotics. - Tadahiro Taniguchi; Takato Horii; Xavier Hinaut; Michael Spranger; Daichi Mochihashi; Takayuki Nagai (Frontiers Robotics AI, 2021)

Infinite SCAN: An Infinite Model of Diachronic Semantic Change. - Seiichi Inoue; Mamoru Komachi; Toshinobu Ogiso; Hiroya Takamura; Daichi Mochihashi (EMNLP, 2022)

Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. - Hiroshi Uehara; Daichi Mochihashi (ICDE Workshops, 2022)

Nonparametric Bayesian Deep Visualization. - Haruya Ishizuka; Daichi Mochihashi (ECML/PKDD (1), 2022)

Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). - Tadahiro Taniguchi; Takayuki Nagai; Shingo Shimoda; Angelo Cangelosi; Yiannis Demiris; Yutaka Matsuo; Kenji Doya; Tetsuya Ogata; Lorenzo Jamone; Yukie Nagai; Emre Ugur; Daichi Mochihashi; et al. (Adv. Robotics, 2022)

Special issue on symbol emergence in robotics and cognitive systems (II). - Tadahiro Taniguchi; Takayuki Nagai; Shingo Shimoda; Angelo Cangelosi; Yiannis Demiris; Yutaka Matsuo; Kenji Doya; Tetsuya Ogata; Lorenzo Jamone; Yukie Nagai; Emre Ugur; Daichi Mochihashi; et al. (Adv. Robotics, 2022)

Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi (Frontiers Robotics AI, 2022)

Scale-Invariant Infinite Hierarchical Topic Model. - Shusei Eshima; Daichi Mochihashi (ACL (Findings), 2023)

Holographic CCG Parsing. - Ryosuke Yamaki; Tadahiro Taniguchi; Daichi Mochihashi (ACL (1), 2023)

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 (ICANN (8), 2023)

Estimating Differential Equations from Temporal Point Processes. - Shuichi Miyazawa; Daichi Mochihashi (Trans. Mach. Learn. Res., 2023)

Learning Adverbs with Spectral Mixture Kernels. - Tomoe Taniguchi; Daichi Mochihashi; Ichiro Kobayashi (ACL (Findings), 2024)

Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices. - Hajime Kiyama; Taichi Aida; Mamoru Komachi; Toshinobu Ogiso; Hiroya Takamura; Daichi Mochihashi (COLING, 2025)

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process. - Issei Saito; Masatoshi Nagano; Tomoaki Nakamura; Daichi Mochihashi; Koki Mimura (CoRR, 2025)

Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance. - Hiroshi Tamano; Hideitsu Hino; Daichi Mochihashi (CoRR, 2025)