-
Data-Driven Shadowgraph Simulation of a 3D Object
In this work we propose a deep neural network based surrogate model for ...
06/01/2021 ∙ by Anna Willmann, et al. ∙
0
∙
share
read it
-
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Temporal networks serve as abstractions of many real-world dynamic syste...
01/15/2021 ∙ by Yanbang Wang, et al. ∙
6
∙
share
read it
-
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Edge streams are commonly used to capture interactions in dynamic networ...
11/09/2020 ∙ by Yen-Yu Chang, et al. ∙
8
∙
share
read it
-
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Human behaviors are regularized by a variety of norms or regulations, ei...
01/29/2019 ∙ by Fan-Yun Sun, et al. ∙
0
∙
share
read it
-
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
This work provides a thorough study on how reward scaling can affect per...
09/06/2018 ∙ by Yeah-Hua Wu, et al. ∙
0
∙
share
read it
-
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
Multivariate time series forecasting is extensively studied throughout t...
09/06/2018 ∙ by Yen-Yu Chang, et al. ∙
0
∙
share
read it
