Conferences

2022

Neural Fields: Modern Optimal Interpolation for Ocean Observation Data
World Ocean Circulation User Consultation Meeting
Slides (PDF)

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
Valero Laparra, Alexander Hepburn, J. Emmanuel Johnson, Jesús Malo
Conference | Paper

The Kernelized Taylor Diagram
Kristoffer Wickstrøm, J. Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022 Norweigian AI Society Symposium
Paper | Code

Workshops

2022

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer
NeurIPS, Machine Learning for Physical Sciences
Paper

2021

Detecting Spatiotemporal Lightning Patterns: An Unsupervised Graph-Based Approach
Emma Benjaminson, Satyarth Praveen, Giulia Luise, J Emmanuel Johnson, Richard Strange, Milad Memarzadeh, Nadia Ahmed
NeurIPS, Machine Learning for Physical Sciences
Paper (PDF)

2020

Rotnet: Fast and scalable estimation of stellar rotation periods using convolutional neural networks
J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K Giles, Stela Ishitani Silva, Anna Jungbluth, Brett Morris, Andrés Muñoz-Jaramillo
NeurIPS, Machine Learning for Physical Sciences
Paper

2019

Information Theory in Density Destructors
J. Emmanuel Johnson, Valero Laparra, Raul Santos-Rodriguez, Gustau Camps-Valls, Jesus Malo
ICML, Invertible Neural Nets and Normalizing Flows
Paper