all AI news
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. (arXiv:2012.02334v5 [cs.LG] UPDATED)
Jan. 13, 2022, 2:10 a.m. | Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
cs.LG updates on arXiv.org arxiv.org
The last few years have witnessed an increased interest in incorporating
physics-informed inductive bias in deep learning frameworks. In particular, a
growing volume of literature has been exploring ways to enforce energy
conservation while using neural networks for learning dynamics from observed
time-series data. In this work, we survey ten recently proposed
energy-conserving neural network models, including HNN, LNN, DeLaN, SymODEN,
CHNN, CLNN and their variants. We provide a compact derivation of the theory
behind these models and explain their …
arxiv benchmarking data energy learning networks neural networks
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Data Scientist
@ Motive | India - Remote
Senior Perception Engineer
@ NVIDIA | US, CA, Santa Clara
Business Data Analyst, Finance and Treasury Data Repositories, Senior Associate
@ State Street | Krakow, Poland
Junior AI Engineer (Internship)
@ Sony | SEU - Italy - Roma
Manager, Data Science 3
@ PayPal | USA - Pennsylvania - Virtual