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ORCIDDaichi Mochihashi
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2020 – today
- 2024
[c37]Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi:
Learning Adverbs with Spectral Mixture Kernels. ACL (Findings) 2024: 7742-7752- 2023
- [j13]Shuichi Miyazawa, Daichi Mochihashi:
Estimating Differential Equations from Temporal Point Processes. Trans. Mach. Learn. Res. 2023 (2023) - [c36]Ryosuke Yamaki, Tadahiro Taniguchi, Daichi Mochihashi:
Holographic CCG Parsing. ACL (1) 2023: 262-276 - [c35]Shusei Eshima, Daichi Mochihashi:
Scale-Invariant Infinite Hierarchical Topic Model. ACL (Findings) 2023: 11731-11746 - [c34]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: 407-418 - 2022
- [j12]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): 1-2 (2022) - [j11]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): 217-218 (2022) - [j10]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) - [c33]Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi:
Infinite SCAN: An Infinite Model of Diachronic Semantic Change. EMNLP 2022: 1605-1616 - [c32]Hiroshi Uehara, Daichi Mochihashi:
Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. ICDE Workshops 2022: 89-94 - [c31]Haruya Ishizuka, Daichi Mochihashi:
Nonparametric Bayesian Deep Visualization. ECML/PKDD (1) 2022: 121-137 - 2021
- [j9]Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai:
Editorial: Language and Robotics. Frontiers Robotics AI 8: 674832 (2021) - [c30]Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi:
A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. PACLIC 2021: 21-31 - 2020
- [c29]Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi:
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. COLING 2020: 4033-4043 - [i1]Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi:
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. CoRR abs/2010.00363 (2020)
2010 – 2019
- 2019
- [j8]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): 700-730 (2019) - [j7]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: 115 (2019) - [c28]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: 37-41 - [c27]Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano:
High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. IROS 2019: 105-111 - 2018
- [j6]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): 777-785 (2018) - [c26]Amir Aly, Tadahiro Taniguchi, Daichi Mochihashi:
A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction. Humanoids 2018: 1-9 - [c25]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: 4067-4074 - 2017
- [j5]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: 67 (2017) - [j4]Ryo Fujii, Ryo Domoto, Daichi Mochihashi:
Nonparametric Bayesian Semi-supervised Word Segmentation. Trans. Assoc. Comput. Linguistics 5: 179-189 (2017) - [c24]Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi:
Suggesting Sentences for ESL using Kernel Embeddings. NLP-TEA@IJCNLP 2017: 64-68 - [c23]Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui:
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI 2017: 3329-3335 - [c22]Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi:
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. IJCNLP(1) 2017: 80-89 - [c21]Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig:
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. INTERSPEECH 2017: 2546-2550 - 2016
- [j3]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): 806-824 (2016) - [c20]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: 11-18 - [c19]Tomoyasu Nakano, Daichi Mochihashi, Kazuyoshi Yoshii, Masataka Goto:
Musical Typicality: How Many Similar Songs Exist?. ISMIR 2016: 695-701 - 2015
- [c18]Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi:
Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. ACL (1) 2015: 1774-1782 - [c17]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: 2249-2254 - 2014
- [c16]Yasunori Ohishi, Daichi Mochihashi, Hirokazu Kameoka, Kunio Kashino:
Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations. ICASSP 2014: 3714-3718 - 2013
- [c15]Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao:
Improvements to the Bayesian Topic N-Gram Models. EMNLP 2013: 1180-1190 - [c14]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: 3163-3167 - [c13]Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto:
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. ICML (3) 2013: 576-584 - [c12]Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto:
Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. ISMIR 2013: 369-374 - 2012
- [c11]Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino:
A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. INTERSPEECH 2012: 474-477 - 2011
- [c10]Shinji Watanabe, Daichi Mochihashi, Takaaki Hori, Atsushi Nakamura:
Gibbs sampling based Multi-scale Mixture Model for speaker clustering. ICASSP 2011: 4524-4527 - 2010
- [c9]Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada:
Learning Common Grammar from Multilingual Corpus. ACL (2) 2010: 184-188 - [c8]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: 2598-2601
2000 – 2009
- 2009
- [j2]Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto:
On the properties of von Neumann kernels for link analysis. Mach. Learn. 75(1): 37-67 (2009) - [c7]Daichi Mochihashi, Takeshi Yamada, Naonori Ueda:
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. ACL/IJCNLP 2009: 100-108 - 2007
- [c6]Daichi Mochihashi, Eiichiro Sumita:
The Infinite Markov Model. NIPS 2007: 1017-1024 - 2006
- [j1]Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita:
Learning an optimal distance metric in a linguistic vector space. Syst. Comput. Jpn. 37(9): 12-21 (2006) - [c5]Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto:
Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. ICDE Workshops 2006: 113 - [c4]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: 83-90 - [c3]Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto:
Exploring Multiple Communities with Kernel-Based Link Analysis. PKDD 2006: 235-246 - 2005
- [c2]Daichi Mochihashi, Yuji Matsumoto:
Context as Filtering. NIPS 2005: 907-914 - 2004
- [c1]Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita:
Learning Nonstructural Distance Metric by Minimum Cluster Distortion. EMNLP 2004: 341-348
Coauthor Index
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