output
19942025
most citedTowards Deep Neural Network Architectures Robust to Adversarial Examples

635 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.LGShow all

2 papers · 2 filters

cs.LG2020★ 9 cited

PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

Masashi Okada, Norio Kosaka, Tadahiro Taniguchi

In the present paper, we propose an extension of the Deep Planning Network (PlaNet), also referred to as PlaNet of the Bayesians (PlaNet-Bayes). There has been a growing demand in…

cs.LG2020★ 3 cited

Domain-Adversarial and Conditional State Space Model for Imitation Learning

Ryo Okumura, Masashi Okada, Tadahiro Taniguchi

State representation learning (SRL) in partially observable Markov decision processes has been studied to learn abstract features of data useful for robot control tasks. For SRL, a…