文献紹介 / Non-Intrusive Parametric Reduced Order M...

December 03, 2020

47

文献紹介 / Non-Intrusive Parametric Reduced Order Models withHigh-Dimensional Inputs via Gradient-Free Active Subspace

友人Tに紹介してもらったもの．
そこそこ理解したので軽くまとめてみた

Atom

December 03, 2020

Tweet

More Decks by Atom

See All by Atom

文献紹介 / Structure-based Knowledge Tracing: An Influence Propagation View

0

76

文献紹介 / Knowledge Tracing with GNN

0

77

ニューラルネットワークのベイズ推論 / Bayesian inference of neural networks

1

2.7k

Graph Convolutional Networks

0

210

文献紹介 / A Probabilistic Annotation Model for Crowdsourcing Coreference

0

56

文献紹介Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time

0

87

文献紹介/ Bayesian Learning for Neural Dependency Parsing

0

96

ポッキー数列の加法定理 / Pocky number additon theorem

0

190

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling

1

120

Featured

See All Featured

Learning to Love Humans: Emotional Interface Design

274

40k

CSS Pre-Processors: Stylus, Less & Sass

356

29k

StorybookのUI Testing Handbookを読んだ

28

5.4k

VelocityConf: Rendering Performance Case Studies

327

24k

The Illustrated Children's Guide to Kubernetes

48

49k

Building Your Own Lightsaber

104

6.2k

Designing Dashboards & Data Visualisations in Web Apps

230

52k

Music & Morning Musume

46

6.3k

Bash Introduction

610

210k

GitHub's CSS Performance

1030

460k

Measuring & Analyzing Core Web Vitals

5

210

Save Time (by Creating Custom Rails Generators)

29

960

Transcript