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Junichiro Hirayama
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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
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
Sparse and low-rank matrix regularization for learning time-varying Markov networks. Mach. Learn. 105(3): 335-366 (2016) - [j7]Aapo Hyvärinen
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
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
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
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
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
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
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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