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ORCIDJunichiro Hirayama
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[c24]Keli Shen, Jun-Ichiro Hirayama:
Kinematic Motor Synergy Analysis to Understand Lock Dance Choreographies. EMBC 2023: 1-6- 2022
- [j10]Takeshi Ogawa, Hideki Shimobayashi, Jun-Ichiro Hirayama, Motoaki Kawanabe:
Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution. NeuroImage 247: 118794 (2022) - [c23]Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori:
Mode estimation on matrix manifolds: Convergence and robustness. AISTATS 2022: 8056-8079 - [c22]Reinmar J. Kobler, Jun-ichiro Hirayama, Motoaki Kawanabe:
Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. ICASSP 2022: 3863-3867 - [c21]Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe:
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. NeurIPS 2022 - [i4]Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe:
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR abs/2206.01323 (2022) - 2021
- [c20]Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias
, Gernot R. Müller-Putz, Motoaki Kawanabe:
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. EMBC 2021: 5909-5913 - [i3]Yu Takagi, Laurence T. Hunt, Ryu Ohata, Hiroshi Imamizu, Jun-ichiro Hirayama:
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments. CoRR abs/2106.02948 (2021) - [i2]Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe:
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. CoRR abs/2107.14398 (2021) - 2020
- [c19]Yu Takagi, Steven W. Kennerley, Jun-ichiro Hirayama, Laurence T. Hunt:
Demixed shared component analysis of neural population data from multiple brain areas. NeurIPS 2020
2010 – 2019
- 2019
- [j9]Yu Takagi, Jun-ichiro Hirayama, Saori C. Tanaka:
State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits. NeuroImage 201 (2019) - 2018
- [c18]Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe:
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. AAAI 2018: 142-150 - [c17]Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe:
Answering Mixed Type Questions about Daily Living Episodes. IJCAI 2018: 4265-4271 - 2017
- [c16]Junichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe:
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. ICML 2017: 1491-1500 - 2016
- [j8]Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii:
Sparse and low-rank matrix regularization for learning time-varying Markov networks. Mach. Learn. 105(3): 335-366 (2016) - [j7]Aapo Hyvärinen, Junichiro Hirayama, Vesa Kiviniemi, Motoaki Kawanabe:
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. Neural Comput. 28(3): 445-484 (2016) - [c15]Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama:
Egocentric Video Search via Physical Interactions. AAAI 2016: 330-337 - 2015
- [j6]Junichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen:
Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis. Neural Comput. 27(7): 1373-1404 (2015) - [j5]Hiroshi Morioka, Atsunori Kanemura, Junichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii:
Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage 111: 167-178 (2015) - [c14]Takeshi Ogawa, Junichiro Hirayama, Pankaj Gupta, Hiroki Moriya, Shumpei Yamaguchi, Akihiro Ishikawa, Yoshihiro Inoue, Motoaki Kawanabe, Shin Ishii:
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. EMBC 2015: 1107-1110 - 2014
- [c13]Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii:
Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS 2014: 5-8 - [c12]Jamilah A. Abdur-Rahim, Takeshi Ogawa, Junichiro Hirayama, Shin Ishii:
Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD). BioCAS 2014: 180 - [c11]Junichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen:
Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity. EMBC 2014: 4932-4935 - [c10]Aapo Hyvärinen, Junichiro Hirayama, Motoaki Kawanabe:
Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. PRNI 2014: 1-4 - 2012
- [i1]Michael Gutmann, Junichiro Hirayama:
Bregman divergence as general framework to estimate unnormalized statistical models. CoRR abs/1202.3727 (2012) - 2011
- [c9]Junichiro Hirayama, Aapo Hyvärinen:
Structural equations and divisive normalization for energy-dependent component analysis. NIPS 2011: 1872-1880 - [c8]Michael Gutmann, Junichiro Hirayama:
Bregman divergence as general framework to estimate unnormalized statistical models. UAI 2011: 283-290 - 2010
- [c7]Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii:
Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. ICONIP (1) 2010: 371-379
2000 – 2009
- 2009
- [c6]Kohei Hayashi, Junichiro Hirayama, Shin Ishii:
Dynamic Exponential Family Matrix Factorization. PAKDD 2009: 452-462 - 2008
- [j4]Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii:
A probabilistic modeling of MOSAIC learning. Artif. Life Robotics 12(1-2): 167-171 (2008) - [c5]Akiyo Asahina, Junichiro Hirayama, Shin Ishii:
Interpreting Dopamine Activities in Stochastic Reward Tasks. ICONIP (1) 2008: 361-368 - [c4]Junichiro Hirayama, Shin Ishii:
A Closed-Form Estimator of Fully Visible Boltzmann Machines. ICONIP (2) 2008: 951-959 - 2007
- [j3]Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii:
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. IEEE Trans. Neural Networks 18(5): 1326-1342 (2007) - [c3]Satoshi Osaga, Junichiro Hirayama, Takashi Takenouchi, Shin Ishii:
A Probabilistic Model of MOSAIC. FOCI 2007: 41-46 - [c2]Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii:
Bayesian Collaborative Predictors for General User Modeling Tasks. ICONIP (1) 2007: 742-751 - 2006
- [j2]Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. Neurocomputing 69(16-18): 1954-1961 (2006) - 2004
- [j1]Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks 17(10): 1391-1400 (2004) - 2002
- [c1]Ruck Thawonmas, Junichiro Hirayama, Fumiaki Takeda:
Learning from Human Decision-Making Behaviors - An Application to RoboCup Software Agents. IEA/AIE 2002: 136-145
Coauthor Index
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