An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks

12 December 2019

Papers citing "An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks"

7 / 7 papers shown

Title
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision Wonjoon Chang Dahee Kwon Jaesik Choi 64 1 0 28 Dec 2023
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations Seongun Kim Jaesik Choi 35 4 0 30 Oct 2023
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks Yingji Zhang Danilo S. Carvalho André Freitas DRL 104 6 0 02 May 2023
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann 78 4 0 12 Oct 2022
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks Haedong Jeong Jiyeon Han Jaesik Choi 48 3 0 16 Dec 2021
Automatic Correction of Internal Units in Generative Neural Networks A. Tousi Haedong Jeong Jiyeon Han Hwanil Choi Jaesik Choi GAN 51 11 0 13 Apr 2021
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes Sohee Cho Ginkyeng Lee Wonjoon Chang Jaesik Choi 73 16 0 27 Apr 2020