Shin Ishii | DeepAI

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Featured Co-authors

Li Zhang
240 publications
Shin-ichi Maeda
23 publications
Masanori Koyama
17 publications
Kenji Doya
13 publications
Takeru Miyato
12 publications
Rui Gong
12 publications
Zhen Liang
12 publications
Kourosh Meshgi
8 publications
Henrik Skibbe
7 publications
Zhiguo Zhang
7 publications
Sotetsu Koyamada
6 publications

∙ 04/19/2023

End-to-End Policy Gradient Method for POMDPs and Explainable Agents

Real-world decision-making problems are often partially observable, and ...

0 Soichiro Nishimori, et al. ∙

∙ 03/29/2023

Pgx: Hardware-accelerated parallel game simulation for reinforcement learning

We propose Pgx, a collection of board game simulators written in JAX. Th...

0 Sotetsu Koyamada, et al. ∙

∙ 02/07/2021

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition

How to effectively and efficiently extract valid and reliable features f...

13 Zhen Liang, et al. ∙

∙ 08/02/2019

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography

Understanding the connectivity in the brain is an important prerequisite...

3 Henrik Skibbe, et al. ∙

∙ 11/16/2017

Efficient Diverse Ensemble for Discriminative Co-Tracking

Ensemble discriminative tracking utilizes a committee of classifiers, to...

0 Kourosh Meshgi, et al. ∙

∙ 06/30/2017

Neural Sequence Model Training via α-divergence Minimization

We propose a new neural sequence model training method in which the obje...

0 Sotetsu Koyamada, et al. ∙

∙ 04/13/2017

Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning

We propose a new regularization method based on virtual adversarial loss...

0 Takeru Miyato, et al. ∙

∙ 04/02/2017

Efficient Version-Space Reduction for Visual Tracking

Discrminative trackers, employ a classification approach to separate the...

0 Kourosh Meshgi, et al. ∙

∙ 03/31/2017

Efficient Asymmetric Co-Tracking using Uncertainty Sampling

Adaptive tracking-by-detection approaches are popular for tracking arbit...

0 Kourosh Meshgi, et al. ∙

∙ 07/02/2015

Distributional Smoothing with Virtual Adversarial Training

We propose local distributional smoothness (LDS), a new notion of smooth...

0 Takeru Miyato, et al. ∙

∙ 01/31/2015

Deep learning of fMRI big data: a novel approach to subject-transfer decoding

As a technology to read brain states from measurable brain activities, b...

0 Sotetsu Koyamada, et al. ∙

∙ 12/21/2014

Principal Sensitivity Analysis

We present a novel algorithm (Principal Sensitivity Analysis; PSA) to an...

0 Sotetsu Koyamada, et al. ∙

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