Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning

May 17, 2019
Panos Stinis

* 30 pages, 5 figures 

  Access Paper or Ask Questions

A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations

Apr 02, 2019
Ramakrishna Tipireddy, Paris Perdikaris, Panos Stinis, Alexandre Tartakovsky

  Access Paper or Ask Questions

Doing the impossible: Why neural networks can be trained at all

May 28, 2018
Nathan O. Hodas, Panos Stinis

* The material is based on a poster from the 15th Neural Computation and Psychology Workshop "Contemporary Neural Network Models: Machine Learning, Artificial Intelligence, and Cognition" August 8-9, 2016, Drexel University, Philadelphia, PA, USA 

  Access Paper or Ask Questions

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Mar 22, 2018
Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung

* 29 pages 

  Access Paper or Ask Questions

Solving differential equations with unknown constitutive relations as recurrent neural networks

Oct 06, 2017
Tobias Hagge, Panos Stinis, Enoch Yeung, Alexandre M. Tartakovsky

* 19 pages, 8 figures 

  Access Paper or Ask Questions