Combining Machine Learning with Knowledge-Based Modeling for Scalable
Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal
Systems

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems

10 February 2020

Alexander Wikner

Brian Hunt

Andrew Pomerance

Papers citing "Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems"

5 / 5 papers shown

Title
Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs Bogdan Penkovsky L. Larger Daniel Brunner TPM 18 28 0 04 May 2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 30 286 0 09 Mar 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 815 6,768 0 26 Sep 2016
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery Izhar Wallach Michael Dzamba Abraham Heifets 71 540 0 10 Oct 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 629 23,235 0 03 Jun 2014