Daichi Mochihashi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 32

Top Topics

Cognitive Systems

Natural Language

Dirichlet Process

Top Venues

Frontiers Robotics AI

Publications

Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi
Learning Adverbs with Spectral Mixture Kernels. ACL (Findings) (2024)
Shusei Eshima, Daichi Mochihashi
Scale-Invariant Infinite Hierarchical Topic Model. ACL (Findings) (2023)
Ryosuke Yamaki, Tadahiro Taniguchi, Daichi Mochihashi
Holographic CCG Parsing. ACL (1) (2023)
Anna Sato, Junichi Chikazoe, Shotaro Funai, Daichi Mochihashi, Yutaka Shikano, Masayuki Asahara, Satoshi Iso, Ichiro Kobayashi
Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry. ICANN (8) (2023)
Shuichi Miyazawa, Daichi Mochihashi
Estimating Differential Equations from Temporal Point Processes. Trans. Mach. Learn. Res. 2023 (2023)
Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36 (1-2) (2022)
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi
Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. Future Internet 9 (2022)
Hiroshi Uehara, Daichi Mochihashi
Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. ICDE Workshops (2022)
Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36 (5-6) (2022)
Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
Infinite SCAN: An Infinite Model of Diachronic Semantic Change. EMNLP (2022)
Haruya Ishizuka, Daichi Mochihashi
Nonparametric Bayesian Deep Visualization. ECML/PKDD (1) (2022)
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi
Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. Frontiers Robotics AI 9 (2022)
Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai
Editorial: Language and Robotics. Frontiers Robotics AI 8 (2021)
Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. PACLIC (2021)
Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. COLING (2020)
Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. CoRR (2020)
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano
High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. IROS (2019)
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano
HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model. Frontiers Robotics AI 6 (2019)
Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly
Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation. HIP@ICDAR (2019)
Tadahiro Taniguchi, Daichi Mochihashi, Takayuki Nagai, Satoru Uchida, Naoya Inoue, Ichiro Kobayashi, Tomoaki Nakamura, Yoshinobu Hagiwara, Naoto Iwahashi, Tetsunari Inamura
Survey on frontiers of language and robotics. Adv. Robotics 33 (15-16) (2019)
Amir Aly, Tadahiro Taniguchi, Daichi Mochihashi
A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction. Humanoids (2018)
Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai
Natural Language Generation Using Monte Carlo Tree Search. J. Adv. Comput. Intell. Intell. Informatics 22 (5) (2018)
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko
Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process. IROS (2018)
Ryo Fujii, Ryo Domoto, Daichi Mochihashi
Nonparametric Bayesian Semi-supervised Word Segmentation. Trans. Assoc. Comput. Linguistics 5 (2017)
Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. INTERSPEECH (2017)
Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh, Masahide Kaneko
Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes. Frontiers Neurorobotics 11 (2017)
Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. IJCNLP(1) (2017)
Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi
Suggesting Sentences for ESL using Kernel Embeddings. NLP-TEA@IJCNLP (2017)
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI (2017)
Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh
Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models. Adv. Robotics 30 (11-12) (2016)
Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai
Human-like Natural Language Generation Using Monte Carlo Tree Search. CC-NLG (2016)
Tomoyasu Nakano, Daichi Mochihashi, Kazuyoshi Yoshii, Masataka Goto
Musical Typicality: How Many Similar Songs Exist?. ISMIR (2016)
Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh
Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments. EMNLP (2015)
Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi
Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. ACL (1) (2015)
Yasunori Ohishi, Daichi Mochihashi, Hirokazu Kameoka, Kunio Kashino
Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations. ICASSP (2014)
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto
Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. ISMIR (2013)
Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino
Bayesian semi-supervised audio event transcription based on Markov indian buffet process. ICASSP (2013)
Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao
Improvements to the Bayesian Topic N-Gram Models. EMNLP (2013)
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. ICML (3) (2013)
Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino
A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. INTERSPEECH (2012)
Shinji Watanabe, Daichi Mochihashi, Takaaki Hori, Atsushi Nakamura
Gibbs sampling based Multi-scale Mixture Model for speaker clustering. ICASSP (2011)
Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
Learning Common Grammar from Multilingual Corpus. ACL (2) (2010)
Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino
Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases. INTERSPEECH (2010)
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. ACL/IJCNLP (2009)
Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto
On the properties of von Neumann kernels for link analysis. Mach. Learn. 75 (1) (2009)
Daichi Mochihashi, Eiichiro Sumita
The Infinite Markov Model. NIPS (2007)
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. ICDE Workshops (2006)
Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita
Learning an optimal distance metric in a linguistic vector space. Systems and Computers in Japan 37 (9) (2006)
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
Exploring Multiple Communities with Kernel-Based Link Analysis. PKDD (2006)
Ruiqiang Zhang, Hirofumi Yamamoto, Michael Paul, Hideo Okuma, Keiji Yasuda, Yves Lepage, Etienne Denoual, Daichi Mochihashi, Andrew M. Finch, Eiichiro Sumita
The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation. IWSLT (2006)
Daichi Mochihashi, Yuji Matsumoto
Context as Filtering. NIPS (2005)
Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita
Learning Nonstructural Distance Metric by Minimum Cluster Distortion. EMNLP (2004)