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Workshop
Tackling Climate Change with Machine Learning
Maria João Sousa · Hari Prasanna Das · Sally Simone Fobi · Jan Drgona · Tegan Maharaj · Yoshua Bengio

Tue Dec 14 05:00 AM -- 05:15 PM (PST) @ None
Event URL: https://www.climatechange.ai/events/neurips2021.html »

The focus of this workshop is the use of machine learning to help address climate change, encompassing mitigation efforts (reducing greenhouse gas emissions), adaptation measures (preparing for unavoidable consequences), and climate science (our understanding of the climate and future climate predictions). The scope of the workshop includes climate-relevant applications of machine learning to the power sector, buildings and transportation infrastructure, agriculture and land use, extreme event prediction, disaster response, climate policy, and climate finance. The goals of the workshop are: (1) to showcase high-impact applications of ML to climate change mitigation, adaptation, and climate science, (2) to showcase novel and interesting problem settings and challenges for ML techniques, (3) to encourage fruitful collaboration between the ML community and a diverse set of researchers and practitioners from climate change-related fields, and (4) to promote dialogue with decision-makers in the private and public sectors to ensure that the work presented leads to responsible and meaningful deployment.

Tue 5:00 a.m. - 5:15 a.m.
Opening Remarks
Tue 6:00 a.m. - 6:11 a.m.
Detecting Abandoned Oil Wells Using Machine Learning and Semantic Segmentation (Spotlight)
Michelle Lin
Tue 6:00 a.m. - 6:22 a.m.
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework (Spotlight)
Léonard Boussioux
Tue 6:22 a.m. - 6:33 a.m.
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models (Spotlight)
Salva Rühling Cachay
Tue 6:33 a.m. - 6:44 a.m.
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction (Spotlight)
Joshua Fan
Tue 7:00 a.m. - 7:11 a.m.
Learned Benchmarks for Subseasonal Forecasting (Spotlight)
Soukayna Mouatadid
Tue 7:11 a.m. - 7:22 a.m.
Emissions-aware electricity network expansion planning via implicit differentiation (Spotlight)
Anthony Degleris
Tue 7:22 a.m. - 7:33 a.m.
Predicting Atlantic Multidecadal Variability (Spotlight)
Glenn Liu
Tue 7:33 a.m. - 7:44 a.m.
Resolving Super Fine-Resolution SIF via Coarsely-Supervised U-Net Regression (Spotlight)
Joshua Fan
Tue 8:00 a.m. - 8:11 a.m.
Semi-Supervised Classification and Segmentation on High Resolution Aerial Images (Spotlight)
Sahil Khose
Tue 8:11 a.m. - 8:22 a.m.
Two-phase training mitigates class imbalance for camera trap image classification with CNNs (Spotlight)
Ruben Cartuyvels
Tue 8:22 a.m. - 8:33 a.m.
DeepQuake: Artificial Intelligence for Earthquake Forecasting Using Fine-Grained Climate Data (Spotlight)
Yash Narayan
Tue 9:00 a.m. - 9:11 a.m.
A day in a sustainable life (Tutorial)
Hussain Kazmi
Tue 9:11 a.m. - 9:22 a.m.
Open Catalyst Project: An Introduction to ML applied to Molecular Simulations (Tutorial)
Muhammed Shuaibi
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Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion (Poster)
Ken C. L. Wong

Author Information

Maria João Sousa (IDMEC, Instituto Superior Técnico, Universidade de Lisboa)
Hari Prasanna Das (University of California Berkeley)
Sally Simone Fobi (Columbia University)
Jan Drgona (Pacific Northwest National Laboratory)

I am a data scientist in the Physics and Computational Sciences Division (PCSD) at Pacific Northwest National Laboratory, Richland, WA. My current research interests fall in the intersection of model-based optimal control, constrained optimization, and machine learning.

Tegan Maharaj (MILA)
Yoshua Bengio (Mila / U. Montreal)

Yoshua Bengio is Full Professor in the computer science and operations research department at U. Montreal, scientific director and founder of Mila and of IVADO, Turing Award 2018 recipient, Canada Research Chair in Statistical Learning Algorithms, as well as a Canada AI CIFAR Chair. He pioneered deep learning and has been getting the most citations per day in 2018 among all computer scientists, worldwide. He is an officer of the Order of Canada, member of the Royal Society of Canada, was awarded the Killam Prize, the Marie-Victorin Prize and the Radio-Canada Scientist of the year in 2017, and he is a member of the NeurIPS advisory board and co-founder of the ICLR conference, as well as program director of the CIFAR program on Learning in Machines and Brains. His goal is to contribute to uncover the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.

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