Workshop
Tackling Climate Change with ML
David Dao · Evan Sherwin · Priya Donti · Lauren Kuntz · Lynn Kaack · Yumna Yusuf · David Rolnick · Catherine Nakalembe · Claire Monteleoni · Yoshua Bengio
Fri 11 Dec, 3 a.m. PST
Climate change is one of the greatest problems society has ever faced, with increasingly severe consequences for humanity as natural disasters multiply, sea levels rise, and ecosystems falter. Since climate change is a complex issue, action takes many forms, from designing smart electric grids to tracking greenhouse gas emissions through satellite imagery. While no silver bullet, machine learning can be an invaluable tool in fighting climate change via a wide array of applications and techniques. These applications require algorithmic innovations in machine learning and close collaboration with diverse fields and practitioners. This workshop is intended as a forum for those in the machine learning community who wish to help tackle climate change. Building on our past workshops on this topic, this workshop aims to especially emphasize the pipeline to impact, through conversations about machine learning with decision-makers and other global leaders in implementing climate change strategies. The all-virtual format of NeurIPS 2020 provides a special opportunity to foster cross-pollination between researchers in machine learning and experts in complementary fields.
Schedule
Fri 3:00 a.m. - 3:35 a.m.
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Welcome and opening remarks
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Introductory remarks
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Fri 4:00 a.m. - 4:05 a.m.
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Introduction to Spotlights
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Live introduction
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Fri 4:05 a.m. - 4:15 a.m.
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Spotlight: Deep Learning for Climate Model Output Statistics
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Spotlight talk
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SlidesLive Video |
Michael Steininger 🔗 |
Fri 4:15 a.m. - 4:22 a.m.
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Spotlight: An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
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Spotlight talk
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Kevin Mayer 🔗 |
Fri 4:22 a.m. - 4:32 a.m.
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Spotlight: Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
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Spotlight talk
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SlidesLive Video |
Thomas Chen 🔗 |
Fri 4:32 a.m. - 4:42 a.m.
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Spotlight: A Machine Learning Approach to Methane Emissions Mitigation in the Oil and Gas Industry
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Spotlight talk
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SlidesLive Video |
Jiayang Wang 🔗 |
Fri 4:42 a.m. - 4:52 a.m.
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Spotlight: RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale
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Spotlight talk
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SlidesLive Video |
Catherine Tong 🔗 |
Fri 4:52 a.m. - 5:00 a.m.
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Introduction to first poster session
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Live introduction
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Fri 5:00 a.m. - 6:00 a.m.
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Poster session 1
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Poster session
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Fri 6:00 a.m. - 6:09 a.m.
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Introduction to Spotlights
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Live introduction
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Fri 6:09 a.m. - 6:19 a.m.
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Spotlight: The Peruvian Amazon Forestry Dataset: A Leaf Image Classification Corpus
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Spotlight talk
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Gerson Waldyr Vizcarra Aguilar 🔗 |
Fri 6:19 a.m. - 6:25 a.m.
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Spotlight: Data-driven modeling of cooling demand in a commercial building
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Spotlight talk
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Aqsa Naeem 🔗 |
Fri 6:25 a.m. - 6:37 a.m.
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Spotlight: Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning
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Spotlight talk
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Trey McNeely 🔗 |
Fri 6:37 a.m. - 6:47 a.m.
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Spotlight: FireSRnet: Geoscience-driven super-resolution of future fire risk from climate change
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Spotlight talk
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SlidesLive Video |
Tristan Ballard 🔗 |
Fri 6:47 a.m. - 6:57 a.m.
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Spotlight: Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification
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Spotlight talk
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SlidesLive Video |
Marta Skreta 🔗 |
Fri 7:00 a.m. - 8:00 a.m.
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Climate Change and ML for Policy
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Discussion Panel
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Angel Hsu · Dava Newman · James Rattling Leaf, Sr. · Mouhamadou M Cisse 🔗 |
Fri 8:00 a.m. - 9:00 a.m.
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Poster session 2
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Poster session
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Fri 9:00 a.m. - 9:10 a.m.
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Introduction to Zico Kolter
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Live introduction
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Fri 9:40 a.m. - 10:00 a.m.
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Q&A with Zico Kolter
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Live Q&A
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Fri 10:00 a.m. - 11:00 a.m.
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Climate Change and ML in the Private Sector
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Discussion Panel
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Aisha Walcott-Bryant · Lea Boche · Anima Anandkumar 🔗 |
Fri 11:00 a.m. - 11:05 a.m.
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Introduction to Spotlights
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Live introduction
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Fri 11:05 a.m. - 11:15 a.m.
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Spotlight: Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
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Spotlight talk
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SlidesLive Video |
Kris Sankaran 🔗 |
Fri 11:15 a.m. - 11:25 a.m.
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Spotlight: Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management
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Spotlight talk
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Lorenzo Tomaselli 🔗 |
Fri 11:25 a.m. - 11:36 a.m.
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Spotlight: OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
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Spotlight talk
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SlidesLive Video |
Hao Sheng 🔗 |
Fri 11:36 a.m. - 11:45 a.m.
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Spotlight: Climate Change Driven Crop Yield Failures
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Spotlight talk
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SlidesLive Video |
Somya Sharma 🔗 |
Fri 11:45 a.m. - 11:55 a.m.
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Spotlight: Towards Tracking the Emissions of Every Power Plant on the Planet
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Spotlight talk
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Heather Couture 🔗 |
Fri 12:00 p.m. - 1:00 p.m.
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Poster session 3
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Poster session
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Fri 1:00 p.m. - 1:10 p.m.
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Introduction to Jennifer Chayes
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Live introduction
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Fri 1:40 p.m. - 2:00 p.m.
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Q&A with Jennifer Chayes
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Live Q&A
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Fri 2:50 p.m. - 3:15 p.m.
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Closing remarks
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Closing remarks
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Fri 3:15 p.m. - 4:00 p.m.
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Poster reception
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Poster session
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Electric Vehicle Range Improvement by Utilizing Deep Learning to Optimize Occupant Thermal Comfort
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Poster
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SlidesLive Video |
Alok Warey 🔗 |
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Explaining Complex Energy Systems: A Challenge
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Poster
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SlidesLive Video |
Jonas Hülsmann 🔗 |
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Is Africa leapfrogging to renewables or heading for carbon lock-in? A machine-learning-based approach to predicting success of power-generation projects
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Poster
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SlidesLive Video |
Galina Alova 🔗 |
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pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research
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Poster
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SlidesLive Video |
Gonzague Henri 🔗 |
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Optimal District Heating in China with Deep Reinforcement Learning
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Poster
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SlidesLive Video |
Adrien Le Coz 🔗 |
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Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs
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Poster
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SlidesLive Video |
Alexander Kell 🔗 |
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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
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Poster
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SlidesLive Video |
Eric Zelikman 🔗 |
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The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
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Poster
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Kyle Tilbury 🔗 |
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A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications
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Poster
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SlidesLive Video |
Quentin Paletta 🔗 |
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Characterization of Industrial Smoke Plumes from Remote Sensing Data
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Poster
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SlidesLive Video |
Michael Mommert 🔗 |
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A Way Toward Low-Carbon Shipping: Improving Port Operations Planning using Machine Learning
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Poster
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SlidesLive Video |
Sara El Mekkaoui 🔗 |
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Learning the distribution of extreme precipitation from atmospheric general circulation model variables
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Poster
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SlidesLive Video |
Philipp Hess 🔗 |
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Spatio-Temporal Learning for Feature Extraction inTime-Series Images
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Poster
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Gael Kamdem De Teyou 🔗 |
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Meta-modeling strategy for data-driven forecasting
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Poster
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SlidesLive Video |
Dominic Skinner 🔗 |
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Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters
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Poster
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Chris Briggs 🔗 |
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Short-term prediction of photovoltaic power generation using Gaussian process regression
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Poster
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SlidesLive Video |
Yahya Al Lawati 🔗 |
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Leveraging Machine learning for Sustainable and Self-sufficient Energy Communities
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Poster
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SlidesLive Video |
Anthony Faustine 🔗 |
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Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery
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Poster
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SlidesLive Video |
Tomas Langer 🔗 |
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Storing Energy with Organic Molecules: Towards a Metric for Improving Molecular Performance for Redox Flow Batteries
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Poster
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SlidesLive Video |
Luis Martin Mejia Mendoza 🔗 |
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Predicting Landsat Reflectance with Deep Generative Fusion
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Poster
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SlidesLive Video |
Shahine Bouabid 🔗 |
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Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter
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Poster
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SlidesLive Video |
Beichen Zhang 🔗 |
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Estimating Forest Ground Vegetation Cover From Nadir Photographs Using Deep Convolutional Neural Networks
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Poster
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SlidesLive Video |
Martin Barczyk 🔗 |
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Hyperspectral Remote Sensing of Aquatic Microbes to Support Water Resource Management
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Poster
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SlidesLive Video |
Grace Kim 🔗 |
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HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
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Poster
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SlidesLive Video |
Niccolo Dalmasso 🔗 |
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Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a proposed general purpose sensor-fusion semantic embedding model
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Poster
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SlidesLive Video |
Lucas Kruitwagen 🔗 |
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Monitoring the Impact of Wildfires on Tree Species with Deep Learning
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Poster
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SlidesLive Video |
WANG ZHOU 🔗 |
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ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery
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Poster
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SlidesLive Video |
Jeremy Irvin 🔗 |
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Monitoring Shorelines via High-Resolution Satellite Imagery and Deep Learning
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Poster
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Venkatesh Ramesh 🔗 |
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Mangrove Ecosystem Detection using Mixed-Resolution Imagery with a Hybrid-Convolutional Neural Network
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Poster
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SlidesLive Video |
Dillon Hicks 🔗 |
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Context-Aware Urban Energy Efficiency Optimization Using Hybrid Physical Models
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Poster
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SlidesLive Video |
Benjamin Choi 🔗 |
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Deep learning architectures for inference of AC-OPF solutions
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Poster
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SlidesLive Video |
Thomas Falconer 🔗 |
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Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data
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Poster
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SlidesLive Video |
Daniel de Barros Soares 🔗 |
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Revealing the Oil Majors' Adaptive Capacity to the Energy Transition with Deep Multi-Agent Reinforcement Learning
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Poster
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SlidesLive Video |
Dylan Radovic 🔗 |
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Quantifying the presence of air pollutants over a road network in high spatio-temporal resolution
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Poster
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SlidesLive Video |
Matteo Bohm 🔗 |
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Annual and in-season mapping of cropland at field scale with sparse labels
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Poster
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SlidesLive Video |
Gabriel Tseng 🔗 |
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NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
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Poster
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SlidesLive Video |
Paula Harder 🔗 |
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Analyzing Sustainability Reports Using Natural Language Processing
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Poster
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SlidesLive Video |
Alexandra Luccioni 🔗 |
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Automated Identification of Oil Field Features using CNNs
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Poster
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SONU DILEEP 🔗 |
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Using attention to model long-term dependencies in occupancy behavior
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Poster
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SlidesLive Video |
Max Kleinebrahm 🔗 |
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Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation
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Poster
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SlidesLive Video |
Veda Sunkara 🔗 |
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Accurate river level predictions using a Wavenet-like model
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Poster
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SlidesLive Video |
Shannon Doyle 🔗 |
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Graph Neural Networks for Improved El Niño Forecasting
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Poster
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SlidesLive Video |
Salva Rühling Cachay 🔗 |
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Movement Tracks for the Automatic Detection of Fish Behavior in Videos
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Poster
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SlidesLive Video |
Declan GD McIntosh 🔗 |
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Residue Density Segmentation for Monitoring and Optimizing Tillage Practices
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Poster
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SlidesLive Video |
Jennifer Hobbs 🔗 |
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Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
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Poster
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SlidesLive Video |
Issam Hadj Laradji 🔗 |
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Machine learning for advanced solar cell production: adversarial denoising, sub-pixel alignment and the digital twin
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Poster
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SlidesLive Video |
Matthias Demant 🔗 |
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Physics-constrained Deep Recurrent Neural Models of Building Thermal Dynamics
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Poster
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SlidesLive Video |
Jan Drgona 🔗 |
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Machine Learning Informed Policy for Environmental Justice in Atlanta with Climate Justice Implications
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Poster
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Lelia Hampton 🔗 |
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Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse
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Poster
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Ancil Crayton 🔗 |
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FlowDB: A new large scale river flow, flash flood, and precipitation dataset
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Poster
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SlidesLive Video |
Isaac Godfried 🔗 |
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Can Federated Learning Save The Planet ?
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Poster
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SlidesLive Video |
Xinchi Qiu 🔗 |
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A Multi-source, End-to-End Solution for Tracking Climate Change Adaptation in Agriculture
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Poster
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Alejandro Coca-Castro 🔗 |
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Satellite imagery analysis for Land Use, Land Use Change and Forestry: A pilot study in Kigali, Rwanda
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Poster
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SlidesLive Video |
Bright Aboh 🔗 |
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EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
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Poster
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SlidesLive Video |
Christian Requena-Mesa 🔗 |
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DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
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Poster
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SlidesLive Video |
Yash Narayan 🔗 |
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Machine Learning Climate Model Dynamics: Offline versus Online Performance
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Poster
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SlidesLive Video |
Noah Brenowitz 🔗 |
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Expert-in-the-loop Systems Towards Safety-critical Machine Learning Technology in Wildfire Intelligence
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Poster
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SlidesLive Video |
Maria João Sousa 🔗 |
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VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder
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Poster
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SlidesLive Video |
Matthew Ehrler 🔗 |
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A Comparison of Data-Driven Models for Predicting Stream Water Temperature
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Poster
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SlidesLive Video |
Helen Weierbach 🔗 |
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Automated Salmonid Counting in Sonar Data
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Poster
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SlidesLive Video |
Peter Kulits 🔗 |
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ACED: Accelerated Computational Electrochemical systems Discovery
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Poster
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SlidesLive Video |
Rachel C Kurchin 🔗 |
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Forecasting Marginal Emissions Factors in PJM
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Poster
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SlidesLive Video |
Amy Wang 🔗 |
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Short-term PV output prediction using convolutional neural network: learning from an imbalanced sky images dataset via sampling and data augmentation
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Poster
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SlidesLive Video |
Yuhao Nie 🔗 |
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OfficeLearn: An OpenAI Gym Environment for Building Level Energy Demand Response
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Poster
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Lucas Spangher 🔗 |
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Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
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Poster
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SlidesLive Video |
Campbell Watson 🔗 |
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Emerging Trends of Sustainability Reporting in the ICT Industry: Insights from Discriminative Topic Mining
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Poster
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SlidesLive Video |
Lin Shi 🔗 |
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Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
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Poster
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SlidesLive Video |
Brian Hutchinson 🔗 |
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High-resolution global irrigation prediction with Sentinel-2 30m data
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Poster
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SlidesLive Video |
Will Hawkins 🔗 |
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Do Occupants in a Building exhibit patterns in Energy Consumption? Analyzing Clusters in Energy Social Games
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Poster
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Hari Prasanna Das 🔗 |
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In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
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Poster
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SlidesLive Video |
Robert Jones 🔗 |
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Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change
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Poster
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Luis Martí 🔗 |
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Understanding global fire regimes using Artificial Intelligence
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Poster
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SlidesLive Video |
Cristobal Pais 🔗 |
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ClimaText: A Dataset for Climate Change Topic Detection
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Poster
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SlidesLive Video |
Markus Leippold 🔗 |
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Towards Data-Driven Physics-Informed Global Precipitation Forecasting from Satellite Imagery
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Poster
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SlidesLive Video |
Valentina Zantedeschi 🔗 |
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A Generative Adversarial Gated Recurrent Network for Power Disaggregation & Consumption Awareness
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Poster
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SlidesLive Video |
Maria Kaselimi 🔗 |
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Deep Fire Topology: Understanding the role of landscape spatial patterns in wildfire susceptibility
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Poster
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SlidesLive Video |
Cristobal Pais 🔗 |
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Machine Learning towards a Global Parametrization of Atmospheric New Particle Formation and Growth
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Poster
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Mihalis Nicolaou 🔗 |
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Long-Range Seasonal Forecasting of 2m-Temperature with Machine Learning
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Poster
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SlidesLive Video |
Etienne Vos 🔗 |