Workshop
AI for Earth and Space Science
Natasha Dudek 路 Karianne Bergen 路 Stewart Jamieson 路 Valentin Tertius Bickel 路 Will Chapman 路 Johanna Hansen
Fri 29 Apr, 8 a.m. PDT
When will the San Andreas faultline next experience a massive earthquake? What can be done to reduce human exposure to zoonotic pathogens such as coronaviruses and schistosomiasis? How can robots be used to explore other planets in the search for extraterrestrial life? AI is posed to play a critical role in answering Earth and Space Sciences questions such as these, boosted by continually expanding, massive volumes of data from geo-scientific sensors, remote sensing data from satellites and space probes, and simulated data from high performance climate and weather simulations. The complexity of these datasets, however, poses an inherent challenge to AI, as they are often noisy, may contain time and/or geographic dependencies, and require substantial interdisciplinary expertise to collect and interpret.This workshop aims to highlight work being done at the intersection of AI and the Earth and Space Sciences, with a special focus on model interpretability at the ICLR 2022 iteration of the workshop (formerly held at ICLR 2020 and NeurIPS 2020). Notably, we do not focus on climate change as this specialized topic is addressed elsewhere and our scope is substantially broader. We showcase cutting-edge applications of machine learning to Earth and Space Science problems, including study of the atmosphere, biosphere (ecology), hydrosphere (water), lithosphere (solid Earth), sensors and sampling, and planetary science. We cultivate areas where Earth and planetary science is informing and inspiring new developments in AI, including theoretical developments in interpretable AI models, hybrid models with knowledge-guided AI, augmenting physics-based models with AI, representation learning from graphs and manifolds in spatiotemporal models, and dimensionality reduction. For example, the application of physics-informed AI to fluid dynamics is leading to major advances in weather forecasting, in turn inspiring exciting new hybrid model-based/model-free methods.
Schedule
Fri 8:00 a.m. - 8:05 a.m.
|
Introductory Remarks
(
Introductory Remarks
)
>
SlidesLive Video |
Natasha Dudek 馃敆 |
Fri 8:05 a.m. - 8:35 a.m.
|
Explainable, Interpretable, and Trustworthy AI for the Earth Sciences
(
Keynote Presentation
)
>
|
Amy McGovern 馃敆 |
Fri 8:35 a.m. - 8:45 a.m.
|
Q&A with Amy McGovern
(
Q&A
)
>
|
Amy McGovern 馃敆 |
Fri 8:45 a.m. - 8:45 a.m.
|
Introduction to the Earth, Space, and Beyond Session
(
Introductory Remarks
)
>
SlidesLive Video |
Karianne Bergen 路 Valentin Tertius Bickel 馃敆 |
Fri 8:45 a.m. - 9:05 a.m.
|
Model Interpretability as Key Trust Element for Onboard Science Autonomy
(
Invited talk - 20 min
)
>
|
Lukas Mandrake 馃敆 |
Fri 9:05 a.m. - 9:15 a.m.
|
Don't Pay Attention to the Noise: Learning Self-supervised Light Curve Representations with a Denoising Time Series Transformer
(
Regular talk - 10 min
)
>
SlidesLive Video |
Mario Morvan 路 Nikolaos Nikolaou 路 Kai Yip 路 Ingo Waldmann 馃敆 |
Fri 9:15 a.m. - 9:25 a.m.
|
Group Equivariant Neural Networks for Spectropolarimetric Inversions in Solar Astronomy
(
Regular talk - 10 min
)
>
SlidesLive Video |
Michael Ito 路 Ian Cunnyngham 路 Xudong Sun 路 Peter Sadowski 馃敆 |
Fri 9:25 a.m. - 9:30 a.m.
|
MIMSS: A Dataset to evaluate Multi-Image Multi-Spectral Super-Resolution on Sentinel 2
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Muhammed Razzak 路 Gonzalo Mateo-Garcia 路 Gurvan Lecuyer 路 Gomez-Chova, Luis 路 Yarin Gal 路 Freddie Kalaitzis 馃敆 |
Fri 9:30 a.m. - 9:35 a.m.
|
Learning latent representations for operational nitrogen response rate prediction
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Christos Pylianidis 路 Ioannis N. Athanasiadis 馃敆 |
Fri 9:35 a.m. - 9:40 a.m.
|
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Mario Lino Valencia 路 Stathi Fotiadis 路 Anil Bharath 路 Chris Cantwell 馃敆 |
Fri 9:40 a.m. - 9:50 a.m.
|
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
(
Regular talk - 10 min
)
>
SlidesLive Video |
Tailin Wu 路 Qinchen Wang 路 Yinan Zhang 路 Zhitao Ying 路 Kaidi Cao 路 Rok Sosic 路 Ridwan Jalali 路 Hassan Hamam 路 Marko Maucec 路 Jure Leskovec 馃敆 |
Fri 9:50 a.m. - 10:00 a.m.
|
Q&A for the Earth, Space, and Beyond Session
(
Q&A
)
>
|
33 presentersKarianne Bergen 路 Valentin Tertius Bickel 路 Lukas Mandrake 路 Mario Morvan 路 Nikolaos Nikolaou 路 Kai Yip 路 Ingo Waldmann 路 Michael Ito 路 Xudong Sun 路 Peter Sadowski 路 Ian Cunnyngham 路 Muhammed Razzak 路 Gonzalo Mateo-Garcia 路 Gurvan Lecuyer 路 Gomez-Chova, Luis 路 Yarin Gal 路 Freddie Kalaitzis 路 Christos Pylianidis 路 Ioannis N. Athanasiadis 路 Mario Lino Valencia 路 Stathi Fotiadis 路 Anil Bharath 路 Chris Cantwell 路 Tailin Wu 路 Qinchen Wang 路 Yinan Zhang 路 Zhitao Ying 路 Kaidi Cao 路 Rok Sosic 路 Jure Leskovec 路 Ridwan Jalali 路 Hassan Hamam 路 Marko Maucec |
Fri 10:00 a.m. - 11:00 a.m.
|
Poster session ( Poster session ) > link | 馃敆 |
Fri 11:00 a.m. - 11:05 a.m.
|
Introduction to the Atmosphere Session
(
Introductory Remarks
)
>
|
Will Chapman 馃敆 |
Fri 11:05 a.m. - 11:25 a.m.
|
FourCastNet: A Data-driven Model for High-resolution Weather Forecasts using Adaptive Fourier Neural Operators
(
Featured talk - 20 min
)
>
SlidesLive Video |
13 presentersJaideep Pathak 路 Shashank Subramanian 路 Peter Harrington 路 Sanjeev Raja 路 Ashesh Chattopadhyay 路 Morteza Mardani 路 Thorsten Kurth 路 David M. Hall 路 Zongyi Li 路 Kamyar Azizzadenesheli 路 Pedram Hassanzadeh 路 Karthik Kashinath 路 Anima Anandkumar |
Fri 11:25 a.m. - 11:35 a.m.
|
Street-Level Air Pollution Modelling with Graph Gaussian Processes
(
Regular talk - 10 min
)
>
SlidesLive Video |
Thomas Pinder 路 Kathryn Turnbull 路 Christopher Nemeth 路 David Leslie 馃敆 |
Fri 11:35 a.m. - 11:45 a.m.
|
Trainable Wavelet Neural Network for Non-Stationary Signals
(
Regular talk - 10 min
)
>
SlidesLive Video |
Jason Stock 路 Charles Anderson 馃敆 |
Fri 11:45 a.m. - 11:55 a.m.
|
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs
(
Regular talk - 10 min
)
>
SlidesLive Video |
Peiyan Hu 路 Qi Meng 路 Bingguang Chen 路 Shiqi Gong 路 Yue Wang 路 Wei Chen 路 Rongchan Zhu 路 Zhi-Ming Ma 路 Tie-Yan Liu 馃敆 |
Fri 11:55 a.m. - 12:00 p.m.
|
Convolutional autoencoders for spatially-informed ensemble post-processing
(
Lightning talk - 5 min
)
>
|
Sebastian Lerch 路 Kai Polsterer 馃敆 |
Fri 12:00 p.m. - 12:10 p.m.
|
Testing Interpretability Techniques for Deep Statistical Climate Downscaling
(
Regular talk - 10 min
)
>
SlidesLive Video |
Jose Gonz谩lez-Abad 路 Jorge Ba帽o-Medina 路 Jos茅 Manuel Guti茅rrez 馃敆 |
Fri 12:10 p.m. - 12:30 p.m.
|
Q&A for the Atmosphere Session
(
Q&A
)
>
|
34 presentersWill Chapman 路 Thomas Pinder 路 Kathryn Turnbull 路 Christopher Nemeth 路 David Leslie 路 Jason Stock 路 Charles Anderson 路 Jaideep Pathak 路 Peter Harrington 路 Ashesh Chattopadhyay 路 Thorsten Kurth 路 David M. Hall 路 Kamyar Azizzadenesheli 路 Pedram Hassanzadeh 路 Anima Anandkumar 路 Shashank Subramanian 路 Sanjeev Raja 路 Morteza Mardani 路 Zongyi Li 路 Karthik Kashinath 路 Peiyan Hu 路 Qi Meng 路 Bingguang Chen 路 Shiqi Gong 路 Yue Wang 路 Wei Chen 路 Rongchan Zhu 路 Zhi-Ming Ma 路 Tie-Yan Liu 路 Sebastian Lerch 路 Kai Polsterer 路 Jose Gonz谩lez-Abad 路 Jorge Ba帽o-Medina 路 Jos茅 Manuel Guti茅rrez |
Fri 12:30 p.m. - 12:30 p.m.
|
Introduction to the Sensors and Sampling Session
(
Introduction
)
>
SlidesLive Video |
Stewart Jamieson 馃敆 |
Fri 12:30 p.m. - 12:45 p.m.
|
Connecting With A Restored Wetland Via A Large-Scale Multimodal Sensor Deployment
(
Session keynote presentation - 15 min
)
>
|
Joseph Paradiso 馃敆 |
Fri 12:45 p.m. - 12:50 p.m.
|
Q&A with Joseph Paradiso
(
Q&A
)
>
|
Joseph Paradiso 路 Stewart Jamieson 馃敆 |
Fri 12:50 p.m. - 12:55 p.m.
|
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Ileana Rugina 路 Rumen R Dangovski 路 Mark Veillette 路 Pooya Khorrami 路 Brian Cheung 路 Olga Simek 路 Marin Soljacic 馃敆 |
Fri 12:55 p.m. - 1:00 p.m.
|
Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Saviz Mowlavi 路 mouhacine Benosman 路 Saleh Nabi 馃敆 |
Fri 1:00 p.m. - 1:15 p.m.
|
Q&A for the Sensors and Sampling Session
(
Q&A
)
>
|
11 presentersStewart Jamieson 路 Ileana Rugina 路 Rumen R Dangovski 路 Mark Veillette 路 Pooya Khorrami 路 Brian Cheung 路 Olga Simek 路 Marin Soljacic 路 Saviz Mowlavi 路 mouhacine Benosman 路 Saleh Nabi |
Fri 1:15 p.m. - 1:30 p.m.
|
Break
|
馃敆 |
Fri 1:30 p.m. - 1:30 p.m.
|
Introduction to the Hydrosphere Session
(
Introduction
)
>
SlidesLive Video |
Natasha Dudek 馃敆 |
Fri 1:30 p.m. - 1:40 p.m.
|
Learning Directed Structure for Multi-Output Gaussian Processes with the AcyGP Model
(
Regular talk (10 min)
)
>
SlidesLive Video |
Benjamin J Ayton 路 Richard Camilli 路 Brian Williams 馃敆 |
Fri 1:40 p.m. - 1:50 p.m.
|
Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks
(
Regular talk - 10 min
)
>
SlidesLive Video |
Ming Fan 路 Dan Lu 路 Deeksha Rastogi 馃敆 |
Fri 1:50 p.m. - 1:55 p.m.
|
Unsupervised Downscaling of Sea Surface Height with Deep Image Prior
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Arthur Filoche 路 Th茅o Archambault 路 Dominique B茅r茅ziat 路 Anastase Charantonis 馃敆 |
Fri 1:55 p.m. - 2:00 p.m.
|
Comparing Loss Representations for SAR Sea Ice Concentration Charting
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Andrzej Kucik 路 Andreas Stokholm 馃敆 |
Fri 2:00 p.m. - 2:05 p.m.
|
Practical Advances in Short-Term Spectral Wave Forecasting with SWRL Net
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Chloe Dawson 路 Noah Reneau 路 Brian Hutchinson 路 Sean Crosby 馃敆 |
Fri 2:05 p.m. - 2:30 p.m.
|
Q&A for the Hydrosphere Session
(
Q&A
)
>
|
18 presentersNatasha Dudek 路 Benjamin J Ayton 路 Richard Camilli 路 Brian Williams 路 Ming Fan 路 Dan Lu 路 Deeksha Rastogi 路 Samuel Greydanus 路 Arthur Filoche 路 Th茅o Archambault 路 Dominique B茅r茅ziat 路 Anastase Charantonis 路 Andrzej Kucik 路 Andreas Stokholm 路 Brian Hutchinson 路 Noah Reneau 路 Sean Crosby 路 Chloe Dawson |
Fri 2:30 p.m. - 2:30 p.m.
|
Introduction to the Ecology Session
(
Introduction
)
>
SlidesLive Video |
Natasha Dudek 馃敆 |
Fri 2:30 p.m. - 2:50 p.m.
|
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
(
Invited talk - 20 min
)
>
SlidesLive Video |
Jeff Clune 馃敆 |
Fri 2:50 p.m. - 3:00 p.m.
|
An interpretable machine learning model for advancing terrestrial ecosystem predictions
(
Regular talk - 10 min
)
>
SlidesLive Video |
Dan Lu 路 Daniel Ricciuto 路 Siyan Liu 馃敆 |
Fri 3:00 p.m. - 3:05 p.m.
|
A weakly supervised framework for high-resolution crop yield forecasts
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Dilli Paudel 路 Diego Marcos 路 Allard de Wit 路 Hendrik Boogaard 路 Ioannis N. Athanasiadis 馃敆 |
Fri 3:05 p.m. - 3:10 p.m.
|
Invertible neural networks for E3SM land model calibration and simulation
(
Lightning talk - 5 min
)
>
SlidesLive Video |
Dan Lu 路 Daniel Ricciuto 路 Jiaxin Zhang 馃敆 |
Fri 3:10 p.m. - 3:30 p.m.
|
Q&A for the Ecology Session
(
Q&A
)
>
|
11 presentersNatasha Dudek 路 Jeff Clune 路 Dan Lu 路 Siyan Liu 路 Daniel Ricciuto 路 Dilli Paudel 路 Diego Marcos 路 Ioannis N. Athanasiadis 路 Allard de Wit 路 Hendrik Boogaard 路 Jiaxin Zhang |
Fri 3:30 p.m. - 4:30 p.m.
|
Panel discussion on the future of model interpretability in the Earth and Space Sciences
(
Discussion panel
)
>
|
Andrew Ross 路 Leilani Gilpin 路 Natasha Dudek 路 Antonios Mamalakis 路 Karianne Bergen 馃敆 |
Fri 4:30 p.m. - 4:35 p.m.
|
Closing remarks
(
Closing remarks
)
>
SlidesLive Video |
Natasha Dudek 馃敆 |
-
|
Don't Pay Attention to the Noise: Learning Self-supervised Light Curve Representations with a Denoising Time Series Transformer
(
Poster
)
>
|
Mario Morvan 路 Nikolaos Nikolaou 路 Kai Yip 路 Ingo Waldmann 馃敆 |
-
|
Convolutional autoencoders for spatially-informed ensemble post-processing
(
Poster
)
>
|
Sebastian Lerch 路 Kai Polsterer 馃敆 |
-
|
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation
(
Poster
)
>
|
Ileana Rugina 路 Rumen R Dangovski 路 Mark Veillette 路 Pooya Khorrami 路 Brian Cheung 路 Olga Simek 路 Marin Soljacic 馃敆 |
-
|
Testing Interpretability Techniques for Deep Statistical Climate Downscaling
(
Poster
)
>
|
Jose Gonz谩lez-Abad 路 Jorge Ba帽o-Medina 路 Jos茅 Manuel Guti茅rrez 馃敆 |
-
|
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
(
Poster
)
>
|
Mario Lino Valencia 路 Stathi Fotiadis 路 Anil Bharath 路 Chris Cantwell 馃敆 |
-
|
Street-Level Air Pollution Modelling with Graph Gaussian Processes
(
Poster
)
>
|
Thomas Pinder 路 Kathryn Turnbull 路 Christopher Nemeth 路 David Leslie 馃敆 |
-
|
Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks
(
Poster
)
>
|
Ming Fan 路 Dan Lu 路 Deeksha Rastogi 馃敆 |
-
|
A weakly supervised framework for high-resolution crop yield forecasts
(
Poster
)
>
|
Dilli Paudel 路 Diego Marcos 路 Allard de Wit 路 Hendrik Boogaard 路 Ioannis N. Athanasiadis 馃敆 |
-
|
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
(
Poster
)
>
|
Tailin Wu 路 Qinchen Wang 路 Yinan Zhang 路 Zhitao Ying 路 Kaidi Cao 路 Rok Sosic 路 Ridwan Jalali 路 Hassan Hamam 路 Marko Maucec 路 Jure Leskovec 馃敆 |
-
|
Practical Advances in Short-Term Spectral Wave Forecasting with SWRL Net
(
Poster
)
>
|
Chloe Dawson 路 Noah Reneau 路 Brian Hutchinson 路 Sean Crosby 馃敆 |
-
|
FourCastNet: A Data-driven Model for High-resolution Weather Forecasts using Adaptive Fourier Neural Operators
(
Poster
)
>
|
13 presentersJaideep Pathak 路 Shashank Subramanian 路 Peter Harrington 路 Sanjeev Raja 路 Ashesh Chattopadhyay 路 Morteza Mardani 路 Thorsten Kurth 路 David M. Hall 路 Zongyi Li 路 Kamyar Azizzadenesheli 路 Pedram Hassanzadeh 路 Karthik Kashinath 路 Anima Anandkumar |
-
|
Learning latent representations for operational nitrogen response rate prediction
(
Poster
)
>
|
Christos Pylianidis 路 Ioannis N. Athanasiadis 馃敆 |
-
|
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately
(
Paper only - no talk or poster
)
>
|
Samuel Greydanus 馃敆 |
-
|
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs
(
Poster
)
>
|
Peiyan Hu 路 Qi Meng 路 Bingguang Chen 路 Shiqi Gong 路 Yue Wang 路 Wei Chen 路 Rongchan Zhu 路 Zhi-Ming Ma 路 Tie-Yan Liu 馃敆 |
-
|
Hurricane Forecasting: A Novel Multimodal Machine Learning Approach
(
Poster
)
>
|
L茅onard Boussioux 路 Cynthia Zeng 路 Th茅o Guenais 路 Dimitris Bertsimas 馃敆 |
-
|
GRASP EARTH: Intuitive Software for Discovering Changes on the Planet
(
Poster
)
>
|
Waku Hatakeyama 路 Shiro Kawakita 路 Ryohei Izawa 路 Masanari Kimura 馃敆 |
-
|
Imbalance-Aware Learning for Deep Physics Modeling
(
Poster
)
>
SlidesLive Video |
Takahito Yoshida 路 Takaharu Yaguchi 路 Takashi Matsubara 馃敆 |
-
|
Machine learning based surrogate modelling and parameter identification for wildfire forecasting
(
Poster
)
>
|
Sibo Cheng 路 Rossella Arcucci 馃敆 |
-
|
MACHINE LEARNING FOR BENTHIC TAXON IDENTIFICATION
(
Poster
)
>
|
Aiswarya Vellappally 路 Mckenzie Love 路 Freya Watkins 路 Song Hou 路 Tim Jackson-Bue 馃敆 |
-
|
Interpretable Climate Change Modeling with Progressive Cascade Networks
(
Poster
)
>
|
Charles Anderson 路 Jason Stock 路 David Anderson 馃敆 |
-
|
Conditional Emulation of Global Precipitation with Generative Adversarial Networks
(
Poster
)
>
|
Alexis Ayala 路 Chris Drazic 路 Seth Bassetti 路 Eric Slyman 路 Brenna Nieva 路 Piper Wolters 路 Kyle Bittner 路 Claudia Tebaldi 路 Ben Kravitz 路 Brian Hutchinson 馃敆 |
-
|
Deep Learning-Based Surrogate Modelling of Thermal Plumes for Shallow Subsurface Temperature Approximation
(
Poster
)
>
|
Raphael Leiteritz 路 Kyle Davis 路 Miriam Schulte 路 Dirk Pfl眉ger 馃敆 |
-
|
Improving remote monitoring of carbon stock in tropical forests with machine learning, a case study in Indonesian Borneo
(
Poster
)
>
|
Andrew Chamberlin 路 Krti Tallam 路 Zac Liu 路 Giulio De Leo 馃敆 |
-
|
Development and Statistical Analysis of an Automated Meteor Detection Pipeline for GOES Weather Satellites
(
Poster
)
>
|
Jeffrey Smith 路 Robert Morris 路 Randolph Longenbaugh 路 Alexandria Clark 路 Jessie Dotson 路 Nina McCurdy 路 Christopher Henze 馃敆 |
-
|
Inferring Antarctica鈥檚 Geology with a Variation of Information Inversion and Machine Learning
(
Poster
)
>
|
Mareen L枚sing 路 Max Moorkamp 路 J枚rg Ebbing 馃敆 |
-
|
DRIFT-NCRN: A BENCHMARK DATASET FOR DRIFTER TRAJECTORY PREDICTION
(
Poster
)
>
|
Johanna Hansen 路 Khalil Virji 路 Travis Manderson 路 David Meger 路 Gregory Dudek 馃敆 |
-
|
Detection of southern sea otters (Enhydra lutris nereis) from aerial imaging on the Monterey Peninsula
(
Poster
)
>
|
Margaret Daly 馃敆 |
-
|
APOGEE Net: An expanded spectral model of both low mass and high mass stars
(
Poster
)
>
|
Dani Sprague 路 Connor Culhane 路 Marina Kounkel 路 Richard Olney 路 Kevin Covey 路 Brian Hutchinson 馃敆 |
-
|
A multi-modal representation of El Nino Southern Oscillation Diversity
(
Poster
)
>
|
Jakob Schl枚r 路 Bedartha Goswami 馃敆 |
-
|
Monitoring a High-Arctic food web from space with machine learning
(
Poster
)
>
|
路 脡liane Duchesne 路 Marie-Christine Cadieux 路 Gilles Gauthier 路 Jo毛l B锚ty 路 Pierre Legagneux 路 Audrey Durand 馃敆 |
-
|
Explaining Unsupervised Detections of Natural Hazards from Multispectral Satellite Image Time-Series
(
Poster
)
>
|
Srija Chakraborty 馃敆 |
-
|
Geospatial Deep Learning Technique to Detect and Classify Geo-structure Failures in Mississippi
(
Poster
)
>
|
Rakesh Salunke 路 Mohammad Sadik Khan 馃敆 |