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Meta-Learning for Koopman Spectral Analysis with Short Time-series

Feb 09, 2021
Tomoharu Iwata, Yoshinobu Kawahara


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Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression

Feb 05, 2021
Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai

* 9 pages, 5 figures 

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Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics

Dec 11, 2020
Tomoharu Iwata, Yoshinobu Kawahara


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Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora

Oct 27, 2020
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau

* 9 pages 

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Meta-Active Learning for Node Response Prediction in Graphs

Oct 12, 2020
Tomoharu Iwata


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Few-shot Learning for Spatial Regression

Oct 09, 2020
Tomoharu Iwata, Yusuke Tanaka


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Few-shot Learning for Time-series Forecasting

Sep 30, 2020
Tomoharu Iwata, Atsutoshi Kumagai


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Gaussian Process Regression with Local Explanation

Jul 03, 2020
Yuya Yoshikawa, Tomoharu Iwata


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Probabilistic Optimal Transport based on Collective Graphical Models

Jun 16, 2020
Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda


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Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability

Mar 13, 2020
Yuya Yoshikawa, Tomoharu Iwata

* 11 pages 

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Semi-supervised Anomaly Detection on Attributed Graphs

Feb 27, 2020
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

* 10 pages 

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Efficient Transfer Bayesian Optimization with Auxiliary Information

Sep 17, 2019
Tomoharu Iwata, Takuma Otsuka


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Anomaly Detection with Inexact Labels

Sep 11, 2019
Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda


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Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

Jul 19, 2019
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda


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Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

Jun 21, 2019
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

* KDD 19 

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Supervised Anomaly Detection based on Deep Autoregressive Density Estimators

Apr 12, 2019
Tomoharu Iwata, Yuki Yamanaka


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Autoencoding Binary Classifiers for Supervised Anomaly Detection

Mar 26, 2019
Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai


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Unsupervised Object Matching for Relational Data

Oct 24, 2018
Tomoharu Iwata, Naonori Ueda


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Finding Appropriate Traffic Regulations via Graph Convolutional Networks

Oct 23, 2018
Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda


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Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities

Sep 21, 2018
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda


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Variational Autoencoder with Implicit Optimal Priors

Sep 14, 2018
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

* 9 pages, 9 figures 

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Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models

Sep 07, 2018
Takashi Wada, Tomoharu Iwata

* 8 pages 

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Zero-shot Domain Adaptation without Domain Semantic Descriptors

Jul 09, 2018
Atsutoshi Kumagai, Tomoharu Iwata

* 10 pages, 10 figures 

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Few-shot learning of neural networks from scratch by pseudo example optimization

Jul 05, 2018
Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

* 14 pages, 2 figures, will be presented at BMVC2018 

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Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes

Jul 19, 2017
Tomoharu Iwata, Zoubin Ghahramani


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Localized Lasso for High-Dimensional Regression

Oct 14, 2016
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski


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Multi-view Anomaly Detection via Probabilistic Latent Variable Models

Nov 13, 2014
Tomoharu Iwata, Makoto Yamada


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Warped Mixtures for Nonparametric Cluster Shapes

Aug 09, 2014
Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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