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Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains



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

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space



Tomoharu Iwata , Atsutoshi Kumagai


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Excess risk analysis for epistemic uncertainty with application to variational inference



Futoshi Futami , Tomoharu Iwata , Naonori Ueda , Issei Sato , Masashi Sugiyama


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Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model



Keisuke Kinoshita , Marc Delcroix , Tomoharu Iwata

* Accepted to IEEE ICASSP-2022, 5 pages, 2 figures 

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Training Deep Models to be Explained with Fewer Examples



Tomoharu Iwata , Yuya Yoshikawa


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Evacuation Shelter Scheduling Problem



Hitoshi Shimizu , Hirohiko Suwa , Tomoharu Iwata , Akinori Fujino , Hiroshi Sawada , Keiichi Yasumoto

* accepted for the 55th Hawaii International Conference on System Sciences (HICSS 2022) 

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End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization



Tomoharu Iwata


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Few-shot Learning for Unsupervised Feature Selection



Atsutoshi Kumagai , Tomoharu Iwata , Yasuhiro Fujiwara

* 20 pages 

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Meta-Learning for Relative Density-Ratio Estimation



Atsutoshi Kumagai , Tomoharu Iwata , Yasuhiro Fujiwara

* 17 pages 

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Meta-learning for Matrix Factorization without Shared Rows or Columns



Tomoharu Iwata


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