Skip to yearly menu bar Skip to main content


Workshop

Tackling Climate Change with Machine Learning

Peetak Mitra ⋅ Maria João Sousa ⋅ Mark Roth ⋅ Jan Drgona ⋅ Emma Strubell ⋅ Yoshua Bengio
Project Page [ Contact: climatechangeai.neurips2022@gmail.com ]

Abstract

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles
7:00 AM
Opening remarks
8:00 AM
Panel: Domain-specific metrics for evaluation and integration of AI
Veronica Adetola ⋅ David Dao ⋅ Antoine Marot
9:00 AM
Calibration of Large Neural Weather Models
Andre Graubner ⋅ Kamyar Azizzadenesheli ⋅ Jaideep Pathak ⋅ Morteza Mardani ⋅ Mike Pritchard ⋅ Karthik Kashinath ⋅ Anima Anandkumar
9:18 AM
Deep learning-based bias adjustment of decadal climate predictions
Reinel Sospedra-Alfonso ⋅ Johannes Exenberger ⋅ Marie McGraw ⋅ Trung Kien Dang
9:29 AM
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
Ilias Tsoumas ⋅ GEORGIOS GIANNARAKIS ⋅ Vasileios Sitokonstantinou ⋅ Alkiviadis Marios Koukos ⋅ Dimitra Loka ⋅ Nikolaos Bartsotas ⋅ Charalampos Kontoes ⋅ Ioannis Athanasiadis
9:40 AM
Personalizing Sustainable Agriculture with Causal Machine Learning
GEORGIOS GIANNARAKIS ⋅ Vasileios Sitokonstantinou ⋅ Roxanne Suzette Lorilla ⋅ Charalampos Kontoes
10:00 AM
Poster Session 1
11:45 AM
Break
12:00 PM
Panel: Assessing AI’s impacts on greenhouse gas emissions and climate change adaptation
George Kamiya ⋅ Sasha Alexandra Luccioni ⋅ Costa Samaras
1:00 PM
Break
3:00 PM
Machine Learning for Activity-Based Road Transportation Emissions Estimation
Derek Rollend ⋅ Kevin Foster ⋅ Tomek Kott ⋅ Rohita Mocharla ⋅ Rodrigo Rene Rai Muñoz Abujder ⋅ Neil Fendley ⋅ Clayton Ashcraft ⋅ Frank Willard ⋅ Marisa Hughes
3:09 PM
Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit
Keisuke Takahata ⋅ Hiroshi Suetsugu ⋅ Keiichi Fukaya ⋅ Shinichiro Shirota
3:22 PM
Tutorials intro
Melanie Hanna ⋅ Ankur Mahesh ⋅ Isabelle Tingzon
3:30 PM
Disaster Risk Monitoring Using Satellite Imagery
Kevin Lee ⋅ Siddha Ganju
3:43 PM
Machine Learning for Predicting Climate Extremes
Hritik Bansal ⋅ Shashank Goel ⋅ Tung Nguyen ⋅ Aditya Grover
3:53 PM
Break
4:00 PM
Adaptive Bias Correction for Improved Subseasonal Forecast
Soukayna Mouatadid ⋅ Paulo Orenstein ⋅ Genevieve Flaspohler ⋅ Judah Cohen ⋅ Miruna Oprescu ⋅ Ernest Fraenkel ⋅ Lester Mackey
4:21 PM
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
Antoine Blanchard ⋅ Nishant Parashar ⋅ Boyko Dodov ⋅ Christian Lessig ⋅ Themis Sapsis
4:31 PM
FIRO: A Deep-neural Network for Wildfire Forecast with Interpretable Hidden States
Eduardo Rodrigues ⋅ Campbell Watson ⋅ Bianca Zadrozny ⋅ Gabrielle Nyirjesy
4:41 PM
Cross Modal Distillation for Flood Extent Mapping
Shubhika Garg ⋅ Ben Feinstein ⋅ Shahar Timnat ⋅ Vishal Batchu ⋅ Gideon Dror ⋅ Adi Gerzi Rosenthal ⋅ Varun Gulshan
4:50 PM
Closing remarks
Image-Based Soil Organic Carbon Estimation from Multispectral Satellite Images with Fourier Neural Operator and Structural Similarity
Ken C. L. Wong ⋅ ⋅ Ademir Ferreira da Silva ⋅ Hongzhi Wang ⋅ Jitendra Singh ⋅ Tanveer Syeda-Mahmood
SolarDK: A high-resolution urban solar panel image classification and localization dataset
Maxim Khomiakov ⋅ Julius Holbech Radzikowski ⋅ Carl Schmidt ⋅ Mathias Bonde Sørensen ⋅ Mads Andersen ⋅ Michael Andersen ⋅ Jes Frellsen
Bayesian inference for aerosol vertical profiles
Shahine Bouabid ⋅ Duncan Watson-Parris ⋅ Dino Sejdinovic
Optimizing toward efficiency for SAR image ship detection
Arthur Van Meerbeeck ⋅ Ruben Cartuyvels ⋅ Jordy Van Landeghem
Discovering Interpretable Structural Model Errors in Climate Models
Rambod Mojgani ⋅ Ashesh Chattopadhyay ⋅ Pedram Hassanzadeh
Improving the predictions of ML-corrected climate models with novelty detection
Clayton Sanford ⋅ Anna Kwa ⋅ Oliver Watt-Meyer ⋅ Spencer K. Clark ⋅ Noah Brenowitz ⋅ Jeremy McGibbon ⋅ Christopher S. Bretherton
Levee protected area detection for improved flood risk assessment in global hydrology models
Masato Ikegawa ⋅ Tristan Hascoet ⋅ Victor Pellet ⋅ Xudong Zhou ⋅ Tetsuya Takiguchi ⋅ Dai Yamazaki
Deep learning for downscaling tropical cyclone rainfall
Emily Vosper ⋅ Lucy Harris ⋅ Andrew McRae ⋅ Laurence Aitchison ⋅ Peter Watson ⋅ Raul Santos-Rodriguez ⋅ Dann Mitchell
Analyzing the global energy discourse with machine learning
Malte Toetzke ⋅ Benedict Probst ⋅ Yasin Tatar ⋅ Stefan Feuerriegel ⋅ Volker Hoffmann
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
So Takao ⋅ Sean Nassimiha ⋅ Peter Dudfield ⋅ Jack Kelly ⋅ Marc Deisenroth
Towards dynamical stability analysis of sustainable power grids using Graph Neural Networks
Christian Nauck ⋅ Michael Lindner ⋅ Ulrich Schürholt ⋅ Frank Hellmann
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
Alexis Groshenry ⋅ Clément Giron ⋅ Alexandre d'Aspremont ⋅ Thomas Lauvaux ⋅ Thibaud Ehret
Probabilistic forecasting of regional photovoltaic power production based on satellite-derived cloud motion
Alberto Carpentieri ⋅ Doris Folini ⋅ Martin Wild ⋅ Angela Meyer
Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson ⋅ Christopher Yeh ⋅ Tongxin Li ⋅ Mahdi Torabi Rad ⋅ Azarang Golmohammadi ⋅ Adam Wierman
Machine learning emulation of a local-scale UK climate model
Henry Addison ⋅ Elizabeth Kendon ⋅ Suman Ravuri ⋅ Peter Watson ⋅ Laurence Aitchison
Bridging the Microwave Data Gap; Using Bayesian Deep Learning to “See” the Unseen
Pedro Ortiz ⋅ Eleanor Casas ⋅ Marko Orescanin ⋅ Scott Powell
Towards Low Cost Automated Monitoring of Life Below Water to De-risk Ocean-Based Carbon Dioxide Removal and Clean Power
Kameswari Devi Ayyagari ⋅ Christopher Whidden ⋅ Corey Morris ⋅ Joshua Barnes
Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation
Alexander Pondaven ⋅ Mart Bakler ⋅ Donghu Guo ⋅ Hamzah Hashim ⋅ Martin Ignatov ⋅ Samir Bhatt ⋅ Seth Flaxman ⋅ Swapnil Mishra ⋅ Elie Alhajjar ⋅ Harrison Zhu
A POMDP Model for Safe Geological Carbon Sequestration
Anthony Corso ⋅ Yizheng Wang ⋅ Markus Zechner ⋅ Jef Caers ⋅ Mykel J Kochenderfer
Optimizing Japanese dam reservoir inflow forecast for efficient operation
Keisuke Yoshimi ⋅ Tristan Hascoet ⋅ Rousslan Dossa ⋅ Ryoichi Takashima ⋅ Tetsuya Takiguchi ⋅ Satoru Oishi
Deep Climate Change: A Dataset and Adaptive domain pre-trained Language Models for Climate Change Related Tasks
Saeid Vaghefi ⋅ Veruska Muccione ⋅ Christian Huggel ⋅ Hamed Khashehchi ⋅ Markus Leippold
Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
Alona Zharova ⋅ Annika Boer ⋅ Julia Knoblauch ⋅ Kai Schewina ⋅ Jana Vihs
Towards a spatially transferable super resolution model for downscaling Antarctic surface melt
Zhongyang Hu ⋅ Yao Sun ⋅ Peter Kuipers Munneke ⋅ Stef Lhermitte ⋅ Xiaoxiang Zhu
Forecasting European Ozone Air Pollution With Transformers
Sebastian Hickman ⋅ Paul Griffiths ⋅ Alex Archibald ⋅ Peer Nowack ⋅ Elie Alhajjar
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
Jie Feng ⋅ Yuanyuan Shi ⋅ Guannan Qu ⋅ Steven Low ⋅ Anima Anandkumar ⋅ Adam Wierman
Exploring Randomly Wired Neural Networks for Climate Model Emulation
William Yik ⋅ Sam Silva ⋅ Andrew Geiss ⋅ Duncan Watson-Parris
Closing the Domain Gap -- Blended Synthetic Imagery for Climate Object Detection
Caleb Kornfein ⋅ Frank Willard ⋅ Caroline Tang ⋅ Yuxi Long ⋅ Saksham Jain ⋅ Jordan Malof ⋅ Simiao Ren ⋅ Kyle Bradbury
SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications
Christopher Yeh ⋅ Victor Li ⋅ Rajeev Datta ⋅ Yisong Yue ⋅ Adam Wierman
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California’s Central Valley
KYONGSIK YUN ⋅ Kyra Adams ⋅ John Reager ⋅ Zhen Liu ⋅ Caitlyn Chavez ⋅ Michael Turmon
AutoML for Climate Change: A Call to Action
Renbo Tu ⋅ Nicholas Roberts ⋅ Vishak Prasad C ⋅ Sibasis Nayak ⋅ Paarth Jain ⋅ Frederic Sala ⋅ Ganesh Ramakrishnan ⋅ Ameet Talwalkar ⋅ Willie Neiswanger ⋅ Colin White
Temperature impacts on hate speech online: evidence from four billion tweets
Annika Stechemesser ⋅ Anders Levermann ⋅ Leonie Wenz
Transformer Neural Networks for Building Load Forecasting
Matthias Hertel ⋅ Simon Ott ⋅ Oliver Neumann ⋅ Benjamin Schäfer ⋅ Ralf Mikut ⋅ Veit Hagenmeyer
Reconstruction of Grid Measurements in the Presence of Adversarial Attacks
Amirmohammad Naeini ⋅ Samer El Kababji ⋅ Pirathayini Srikantha
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble
Satyaki Chatterjee ⋅ Adithya Ramachandran ⋅ Thorkil Flensmark Neergaard ⋅ Andreas Maier ⋅ Siming Bayer
Generalized Ice Detection on Wind Turbine Rotor Blades with Neural Style Transfer
Joyjit Chatterjee ⋅ Maria Teresa Alvela Nieto ⋅ Hannes Gelbhardt ⋅ Nina Dethlefs ⋅ Jan Ohlendorf ⋅ Klaus-Dieter Thoben
Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics
Maxwell Schrader ⋅ Navish Kumar ⋅ Nicolas Collignon ⋅ Maria Astefanoaei ⋅ Esben Sørig ⋅ Soon Myeong Yoon ⋅ Kai Xu ⋅ Akash Srivastava
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
Vanessa Boehm ⋅ Wei Ji Leong ⋅ Ragini Bal Mahesh ⋅ Ioannis Prapas ⋅ Siddha Ganju ⋅ Freddie Kalaitzis ⋅ Edoardo Nemni ⋅ Raul Ramos-Pollán
Hybrid Recurrent Neural Network for Drought Monitoring
Mengxue Zhang ⋅ Miguel-Ángel Fernández-Torres ⋅ Gustau Camps-Valls
Causal Modeling of Soil Processes for Improved Generalization
Somya Sharma ⋅ Swati Sharma ⋅ Emre Kiciman ⋅ Andy Neal ⋅ Ranveer Chandra ⋅ John Crawford ⋅ Sara Malvar ⋅ Eduardo Rodrigues
Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
Qie Zhang ⋅ Mirco Milletari ⋅ Yagna D Oruganti ⋅ Philipp Witte
Estimating Corporate Scope 1 Emissions Using Tree-Based Machine Learning Methods
Elham Kheradmand ⋅ Maida Hadziosmanovic ⋅ Nazim Benguettat ⋅ H. Damon Matthews ⋅ Shannon M. Lloyd
Analyzing Micro-Level Rebound Effects of Energy Efficient Technologies
Mayank Jain ⋅ Mukta Jain ⋅ Tarek Alskaif ⋅ Soumyabrata Dev
Comparing the carbon costs and benefits of low-resource solar nowcasting
Ben Dixon ⋅ Jacob Bieker ⋅ Maria Perez-Ortiz
Climate Policy Tracker: Pipeline for automated analysis of public climate policies
Artur Żółkowski ⋅ Mateusz Krzyziński ⋅ Piotr Wilczyński ⋅ Stanisław Giziński ⋅ Emilia Wiśnios ⋅ Bartosz Pieliński ⋅ Julian Sienkiewicz ⋅ Przemysław Biecek
Controllable Generation for Climate Modeling
Moulik Choraria ⋅ Daniela Szwarcman ⋅ Bianca Zadrozny ⋅ Campbell Watson ⋅ Lav Varshney
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
Manmeet Singh ⋅ Vaisakh SB ⋅ Nachiketa Acharya ⋅ Aditya Grover ⋅ Suryachandra A. Rao ⋅ Bipin Kumar ⋅ Zong-Liang Yang ⋅ Dev Niyogi
Urban Heat Island Detection and Causal Inference Using Convolutional Neural Networks
Zachary D Calhoun ⋅ Ziyang Jiang ⋅ Mike Bergin ⋅ David Carlson
EnhancedSD: Predicting Solar Power Reanalysis from Climate Projections via Image Super-Resolution
Nidhin Harilal ⋅ Bri-Mathias Hodge ⋅ Claire Monteleoni ⋅ Aneesh Subramanian
Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer ⋅ Nathan Safir ⋅ Daniel Neill
Image-based Early Detection System for Wildfires
Omkar Ranadive ⋅ Jisu Kim ⋅ Serin Lee ⋅ Youngseo Cha ⋅ Heechan Park ⋅ Minkook Cho ⋅ Young Hwang
Towards Global Crop Maps with Transfer Learning
Hyun-Woo Jo ⋅ Alkiviadis Marios Koukos ⋅ Vasileios Sitokonstantinou ⋅ Woo-Kyun Lee ⋅ Charalampos Kontoes
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
Paula Harder ⋅ Qidong Yang ⋅ Venkatesh Ramesh ⋅ Prasanna Sattigeri ⋅ Alex Hernandez-Garcia ⋅ Campbell Watson ⋅ Daniela Szwarcman ⋅ David Rolnick
Transformers for Fast Emulation of Atmospheric Chemistry Box Models
Herbie Bradley ⋅ Nathan Luke Abraham ⋅ Peer Nowack ⋅ Doug McNeall
Flood Prediction with Graph Neural Networks
Arlei Silva ⋅ Arnold Kazadi ⋅ James Doss-Gollin ⋅ Antonia Sebastian
Neural Representation of the Stratospheric Ozone Chemistry
Helge Mohn ⋅ Daniel Kreyling ⋅ Ingo Wohltmann ⋅ Ralph Lehmann ⋅ Peter Maaß ⋅ Markus Rex
Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
Philipp Witte ⋅ Russell J. Hewett ⋅ Ranveer Chandra
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text
Babak Jalalzadeh Fard ⋅ Sadid A. Hasan ⋅ Jesse E. Bell
Nowformer : A Locally Enhanced Temporal Learner for Precipitation Nowcasting
Jinyoung Park ⋅ Inyoung Lee ⋅ Minseok Son ⋅ Seungju Cho ⋅ Changick Kim
An Unsupervised Learning Perspective on the Dynamic Contribution to Extreme Precipitation Changes
Griffin Mooers ⋅ Tom Beucler ⋅ Mike Pritchard ⋅ Stephan Mandt
Multimodal Wildland Fire Smoke Detection
Mai Nguyen ⋅ Shreyas Anantha Ramaprasad ⋅ Jaspreet Kaur Bhamra ⋅ Siddhant Baldota ⋅ Gary Cottrell
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maëlys Solal ⋅ Andrew Jesson ⋅ Yarin Gal ⋅ Alyson Douglas
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs
Claire Robin ⋅ Christian Requena-Mesa ⋅ Vitus Benson ⋅ Jeran Poehls ⋅ Lazaro Alonzo ⋅ Nuno Carvalhais ⋅ Markus Reichstein
Generative Modeling of High-resolution Global Precipitation Forecasts
James Duncan ⋅ Peter Harrington ⋅ Shashank Subramanian
Learning Surrogates for Diverse Emission Models
Edgar Ramirez Sanchez ⋅ Catherine Tang ⋅ Vindula Jayawardana ⋅ Cathy Wu
Continual VQA for Disaster Response Systems
Aditya Kane ⋅ V MANUSHREE ⋅ Sahil Khose
Guided Transformer Network for Detecting Methane Emissions in Sentinel-2 Satellite Imagery
Satish Kumar ⋅ William Kingwill ⋅ Rozanne Mouton ⋅ Wojciech Adamczyk ⋅ Robert Huppertz ⋅ Evan Sherwin
A Global Classification Model for Cities using ML
Mohamed Elhabashy ⋅ Doron Hazan ⋅ Mohanned ElKholy ⋅ Omer Mousa ⋅ Norhan Bayomi ⋅ Matias Williams ⋅ John Fernandez
FIRO: A Deep-neural Network for Wildfire Forecast with Interpretable Hidden States
Eduardo Rodrigues ⋅ Campbell Watson ⋅ Bianca Zadrozny ⋅ Gabrielle Nyirjesy
Cross Modal Distillation for Flood Extent Mapping
Shubhika Garg ⋅ Ben Feinstein ⋅ Shahar Timnat ⋅ Vishal Batchu ⋅ Gideon Dror ⋅ Adi Gerzi Rosenthal ⋅ Varun Gulshan
Deep learning-based bias adjustment of decadal climate predictions
Reinel Sospedra-Alfonso ⋅ Johannes Exenberger ⋅ Marie McGraw ⋅ Trung Kien Dang
Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit
Keisuke Takahata ⋅ Hiroshi Suetsugu ⋅ Keiichi Fukaya ⋅ Shinichiro Shirota
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
Antoine Blanchard ⋅ Nishant Parashar ⋅ Boyko Dodov ⋅ Christian Lessig ⋅ Themis Sapsis
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
Ilias Tsoumas ⋅ GEORGIOS GIANNARAKIS ⋅ Vasileios Sitokonstantinou ⋅ Alkiviadis Marios Koukos ⋅ Dimitra Loka ⋅ Nikolaos Bartsotas ⋅ Charalampos Kontoes ⋅ Ioannis Athanasiadis
Adaptive Bias Correction for Improved Subseasonal Forecast
Soukayna Mouatadid ⋅ Paulo Orenstein ⋅ Genevieve Flaspohler ⋅ Judah Cohen ⋅ Miruna Oprescu ⋅ Ernest Fraenkel ⋅ Lester Mackey
Calibration of Large Neural Weather Models
Andre Graubner ⋅ Kamyar Azizzadenesheli ⋅ Jaideep Pathak ⋅ Morteza Mardani ⋅ Mike Pritchard ⋅ Karthik Kashinath ⋅ Anima Anandkumar
Personalizing Sustainable Agriculture with Causal Machine Learning
GEORGIOS GIANNARAKIS ⋅ Vasileios Sitokonstantinou ⋅ Roxanne Suzette Lorilla ⋅ Charalampos Kontoes
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters
Soumyendu Sarkar ⋅ Vineet Gundecha ⋅ Alexander Shmakov ⋅ Sahand Ghorbanpour ⋅ Ashwin Ramesh Babu ⋅ Alexandre Pichard ⋅ Mathieu Cocho
AutoML-based Almond Yield Prediction and Projection in California
Shiheng Duan ⋅ Shuaiqi Wu ⋅ Erwan Monier ⋅ Paul Ullrich
Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel ⋅ ⋅ Campbell Watson ⋅ Gabrielle Nyirjesy ⋅ Conrad Albrecht
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
Joseph Early ⋅ Ying-Jung Deweese ⋅ Christine Evers ⋅ Sarvapali Ramchurn
Deep Hydrology: Hourly, Gap-Free Flood Maps Through Joint Satellite and Hydrologic Modelling
Tanya Nair ⋅ Veda Sunkara ⋅ Jonathan Frame ⋅ Philip Popien ⋅ Subit Chakrabarti
Identifying Compound Climate Drivers of Forest Mortality with β-VAE
Mohit Anand ⋅ Lily-belle Sweet ⋅ Gustau Camps-Valls ⋅ Jakob Zscheischler
Deep Learning for Global Wildfire Forecasting
Ioannis Prapas ⋅ Akanksha Ahuja ⋅ Spyros Kondylatos ⋅ Ilektra Karasante ⋅ Lazaro Alonso ⋅ Lefki-Ioanna Panagiotou ⋅ Charalampos Davalas ⋅ Dimitrios Michail ⋅ Nuno Carvalhais ⋅ IOANNIS PAPOUTSIS
Accessible Large-Scale Plant Pathology Recognition
Marcos Conde ⋅ Dmitry Gordeev
Performance evaluation of deep segmentation models on Landsat-8 imagery
Akshat Bhandari ⋅ Pratinav Seth ⋅ Sriya Rallabandi ⋅ Aditya Kasliwal ⋅ Sanchit Singhal
Machine Learning for Predicting Climate Extremes
Hritik Bansal ⋅ Shashank Goel ⋅ Tung Nguyen ⋅ Aditya Grover
FourCastNet: A practical introduction to a state-of-the-art deep learning global weather emulator
Jaideep Pathak ⋅ Shashank Subramanian ⋅ Peter Harrington ⋅ Thorsten Kurth ⋅ Andre Graubner ⋅ Morteza Mardani ⋅ David Hall ⋅ Karthik Kashinath ⋅ Anima Anandkumar
Automating the creation of LULC datasets
Sambhav Rohatgi ⋅ Anthony Mucia
Estimating Heating Loads in Alaska using Remote Sensing and Machine Learning Methods
Madelyn Gaumer ⋅ Nick Bolten ⋅ Vidisha Chowdhury ⋅ Philippe Schicker ⋅ Shamsi Soltani ⋅ Erin Trochim
Curriculum Based Reinforcement Learning to Avert Cascading Failures in the Electric Grid
Amarsagar Reddy Ramapuram Matavalam ⋅ Kishan Prudhvi Guddanti ⋅ Yang Weng