Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2301.04027
Cited By
Differentiable modeling to unify machine learning and physical models and advance Geosciences
10 January 2023
Chaopeng Shen
A. Appling
Pierre Gentine
Toshiyuki Bandai
H. Gupta
A. Tartakovsky
M. Baity-Jesi
F. Fenicia
Daniel Kifer
Li Li
Xiaofeng Liu
Wei Ren
Y. Zheng
C. Harman
M. Clark
Matthew W. Farthing
D. Feng
Praveen Kumar
Doaa Aboelyazeed
F. Rahmani
H. Beck
Tadd Bindas
D. Dwivedi
K. Fang
Marvin Hoge
Chris Rackauckas
Tirthankar Roy
Chonggang Xu
Binayak Mohanty
K. Lawson
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Differentiable modeling to unify machine learning and physical models and advance Geosciences"
6 / 6 papers shown
Title
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
Yuan-Heng Wang
Hoshin V. Gupta
AI4CE
30
6
0
12 Oct 2023
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence
Y. Ma
Doris Y. Tsao
H. Shum
67
75
0
11 Jul 2022
The data synergy effects of time-series deep learning models in hydrology
K. Fang
Daniel Kifer
K. Lawson
D. Feng
Chaopeng Shen
AI4CE
61
80
0
06 Jan 2021
Physics guided machine learning using simplified theories
Suraj Pawar
Omer San
Burak Aksoylu
Adil Rasheed
T. Kvamsdal
PINN
AI4CE
92
106
0
18 Dec 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
1