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Workshop

Tackling Climate Change with Machine Learning: Fostering the Maturity of ML Applications for Climate Change

Shiva Madadkhani ⋅ Arthur Ouaknine ⋅ Rasika Bhalerao ⋅ Millie Chapman ⋅ Jesse Dunietz ⋅ Nikola Milojevic-Dupont ⋅ Olivia Mendivil Ramos ⋅ David Rolnick ⋅ Yoshua Bengio
[ Contact: climatechangeai.iclr2024@gmail.com ]

Abstract

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Schedule

Timezone: America/Los_Angeles
11:00 PM
Opening remarks
11:05 PM
Spotlights
Adam Subel ⋅ Dan Lu ⋅ Cristian Meo ⋅ Marshall Wang
11:45 PM
Posters
12:30 AM
Coffee break
1:00 AM
Keynote
Emily Shuckburgh
1:45 AM
Pathways to Industry Deployment: Enabling and Sustaining Maturity of ML Applications for Climate Change
Aidan O’Sullivan ⋅ Amen Ra Mashariki ⋅ Antonia Gawel ⋅ Gilles Quentin Hacheme ⋅ Kate Kallot
2:45 AM
Lunch
3:55 AM
Keynote
Oisin Mac Aodha
4:40 AM
Spotlights
Bin Lu ⋅ Pascal Janetzky ⋅ Kshitij Tayal ⋅ Jaeik Jeong ⋅ Tung Nguyen
5:30 AM
Posters
6:45 AM
Shaping the ML Innovation Landscape with a Climate Lens
Lynn Kaack ⋅ Michal Nachmany ⋅ Oliver Stephenson ⋅ Olof Mogren
Advancing Earth System Model Calibration: A Diffusion-Based Method
Yanfang Liu ⋅ Dan Lu ⋅ Zezhong Zhang ⋅ Feng Bao ⋅ Guannan Zhang
Reconstructing the Breathless Ocean with Spatio-Temporal Graph Learning
Bin Lu ⋅ Ze Zhao ⋅ Luyu Han ⋅ Xiaoying Gan ⋅ Yuntao Zhou ⋅ Lei Zhou ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Chenghu Zhou
Global Vegetation Modeling With Pre-Trained Weather Transformers
Pascal Janetzky ⋅ Florian Gallusser ⋅ Simon Hentschel ⋅ Anna Krause ⋅ Andreas Hotho
Building Ocean Climate Emulators
Adam Subel ⋅ Laure Zanna
Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting
Tung Nguyen ⋅ Rohan Shah ⋅ Hritik Bansal ⋅ Troy Arcomano ⋅ Sandeep Madireddy ⋅ Romit Maulik ⋅ Veerabhadra Kotamarthi ⋅ Ian Foster ⋅ Aditya Grover
Extreme Precipitation Nowcasting using Transformer-based generative models
Cristian Meo ⋅ Ankush Roy ⋅ Mircea Lica ⋅ Zeina Boucher ⋅ Junzhe Yin ⋅ Yanbo Wang ⋅ Ruben Imhoff ⋅ Remko Uijlenhoet ⋅ Justin Dauwels
Towards a Data-Driven Understanding of Cloud Structure Formation
Ann-Christin Wörl ⋅ Peter Spichtinger
Towards Downscaling Global AOD with Machine Learning
Josh Millar ⋅ Paula Harder ⋅ Lilli Freischem ⋅ Philipp Weiss ⋅ Philip Stier
Analyzing the secondary wastewater-treatment process using Faster R-CNN and YOLOv5 object detection algorithms
Offir Inbar ⋅ Moni Shahar ⋅ Jacob Gidron ⋅ Ido Cohen ⋅ Dror Avisar
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
Katie Christensen ⋅ Lyric Otto ⋅ Seth Bassetti ⋅ Claudia Tebaldi ⋅ Brian Hutchinson
Semi-Supervised Domain Adaptation for Wildfire Detection
Jooyoung Jang ⋅ Youngseo Cha ⋅ Jisu Kim ⋅ SooHyung Lee ⋅ Geonu Lee ⋅ Minkook Cho ⋅ Young Hwang ⋅ Nojun Kwak
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
Ayush Jain ⋅ Manikandan Padmanaban ⋅ Jagabondhu Hazra ⋅ Shantanu Godbole ⋅ Hendrik Hamann
Neural Processes for Short-Term Forecasting of Weather Attributes
Benedetta L Mussati ⋅ Helen McKay ⋅ Stephen Roberts
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
Yujin Tang ⋅ Jiaming Zhou ⋅ Xiang Pan ⋅ Zeying Gong ⋅ Junwei Liang
Physics-informed Machine Learning-based Cloud Microphysics parameterization for Earth System Models
Ellen Sarauer ⋅ Mierk Schwabe ⋅ Philipp Weiss ⋅ Axel Lauer ⋅ Philip Stier ⋅ Veronika Eyring
From spectra to biophysical insights: end-to-end learning with a biased radiative transfer model
Yihang She ⋅ Clement Atzberger ⋅ Andrew Blake ⋅ Srinivasan Keshav
Interpretable Machine Learning for Extreme Events detection: An application to droughts in the Po River Basin
Paolo Bonetti ⋅ Matteo Giuliani ⋅ Veronica Cardigliano ⋅ Alberto Maria Metelli ⋅ Marcello Restelli ⋅ Andrea Castelletti
Literature Mining with Large Language Models to Assist the Development of Sustainable Building Materials
Yifei Duan ⋅ Yixi Tian ⋅ Soumya Ghosh ⋅ Richard Goodwin ⋅ Vineeth Venugopal ⋅ Jeremy Gregory ⋅ Jie Chen ⋅ Elsa Olivetti
A Deep Learning Technology Suite for Cost-Effective Sequestered CO2 Monitoring
Wenyi Hu ⋅ Son Phan ⋅ Cen Li ⋅ Aria Abubakar
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Johannes Exenberger ⋅ Matteo Di Salvo ⋅ Thomas Hirsch ⋅ Franz Wotawa ⋅ Gerald Schweiger
Forecasting Tropical Cyclones with Cascaded Diffusion Models
Pritthijit Nath ⋅ Pritthijit Nath ⋅ Pancham Shukla ⋅ Shuai Wang ⋅ Cesar Quilodran-Casas
Forecasting regional PV power in Great Britain with a multi-modal late fusion network
James Fulton ⋅ Jacob Bieker ⋅ Peter Dudfield ⋅ Solomon Cotton ⋅ Zakari Watts ⋅ Jack Kelly
Exploring Graph Neural Networks to Predict the Seagrasses Ecosystem State in the Italian Seas
Angelica Bianconi ⋅ Sebastiano Vascon ⋅ Elisa Furlan ⋅ Andrea Critto
Global High Resolution CO2 monitoring using Super Resolution
Andrianirina Rakotoharisoa ⋅ Rossella Arcucci
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
Jason Stock ⋅ Jaideep Pathak ⋅ Yair Cohen ⋅ Mike Pritchard ⋅ Piyush Garg ⋅ Dale Durran ⋅ Morteza Mardani ⋅ Noah Brenowitz
A cautionary tale about deep learning-based climate emulators
Björn Lütjens ⋅ Raffaele Ferrari ⋅ Paolo Giani ⋅ Dava Newman ⋅ Andre Souza ⋅ Duncan Watson-Parris ⋅ Noelle Selin
An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation
C. Coelho ⋅ Ming Jin ⋅ M.Fernanda Costa ⋅ Luís Ferrás
CausalPrompt: Enhancing LLMs with Weakly Supervised Causal Reasoning for Robust Performance in Non-Language Tasks
Tung-Wei Lin ⋅ Vanshaj Khattar ⋅ Yuxuan Huang ⋅ Junho Hong ⋅ Ruoxi Jia ⋅ Chen-Ching Liu ⋅ Alberto Sangiovanni-Vincentelli ⋅ Ming Jin
Probabilistic electricity price forecasting through conformalized deep ensembles
Alessandro Brusaferri ⋅ Andrea Ballarino ⋅ Luigi Grossi ⋅ Fabrizio Laurini
Interpretable Machine Learning for power systems: Establishing Confidence in SHapley Additive exPlanationS
Tabia Ahmad ⋅ Robert Hamilton ⋅ Panagiotis N. Papadopoulos ⋅ Samuel Chevalier ⋅ Ilgiz Murzakhanov ⋅ Rahul Nellikkath ⋅ Jochen Stiasny ⋅ Spyros Chatzivasileiadis
DETECTION OF METEOROLOGICAL VARIABLES IN A WIND FARM INFLUENCING THE EXTREME WIND SPEED BY HETEROGENEOUS GRANGER CAUSALITY
Katerina Schindlerova ⋅ Irene Schicker ⋅ Kejsi Hoxhallari ⋅ Claudia Plant
Machine Learning for the Detection of Arctic Melt Ponds from Infrared Imagery
Marlena Reil ⋅ Gunnar Spreen ⋅ Marcus Huntemann ⋅ Lena Buth ⋅ Dennis G Wilson
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
Robin Zbinden ⋅ Nina van Tiel ⋅ Marc Rußwurm ⋅ Devis Tuia
Calibrating Earth System Models with Bayesian Optimal Experimental Design
Tim Reichelt ⋅ Shahine Bouabid ⋅ Luke Ong ⋅ Duncan Watson-Parris ⋅ Tom Rainforth
Deep Gaussian Processes and inversion for decision support in model-based climate change mitigation and adaptation problems
bertrand nortier ⋅ daniel williamson ⋅ mattia mancini ⋅ deyu ming ⋅ amy binner ⋅ brett day ⋅ ian bateman
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Yunxiang LI ⋅ Nicolas Cuadrado ⋅ Samuel Horvath ⋅ Martin Takáč
A Deep Learning Framework to Efficiently Estimate Precipitation at the Convection Permitting Scale
Valentina Blasone ⋅ Erika Coppola ⋅ Guido Sanguinetti ⋅ Viplove Arora ⋅ Serafina Di Gioia ⋅ Luca Bortolussi
Neural Tree Reconstruction for the Open Forest Observatory
Marissa Ramirez de Chanlatte ⋅ Arjun Rewari ⋅ Trevor Darrell ⋅ Derek Young
Graph Neural Network Based Screening of Metal-Organic Frameworks for CO2 Capture
Zikri Bayraktar ⋅ Mengying Li ⋅ Shahnawaz Molla
Predicting Species Occurrence Patterns from Partial Observations
Hager Radi Abdelwahed ⋅ Mélisande Teng ⋅ David Rolnick
Towards Scalable Deep Species Distribution Modelling using Global Remote Sensing
Emily Morris ⋅ Anil Madhavapeddy ⋅ Sadiq Jaffer ⋅ David Coomes
Structured spectral reconstruction for scalable soil organic carbon inference
Evan Coleman ⋅ Sujay Nair ⋅ Xinyi Zeng ⋅ Elsa Olivetti
ClimateQ&A : bridging the gap between climate scientists and the general public
NATALIA DE LA CALZADA ⋅ Theo Alves Da Costa ⋅ Annabelle Blangero ⋅ Nicolas Chesneau
Improving Streamflow Predictions with Vision Transformers
Kshitij Tayal ⋅ Arvind Renganathan ⋅ Dan Lu
Towards Ecological Network Analysis with Gromov-Wasserstein Distances
Kai Hung ⋅ Ann Finneran ⋅ Alex Zalles ⋅ Lydia Beaudrot ⋅ Cesar Uribe
Enabling Clean Energy Resilience with Machine Learning-Empowered Underground Hydrogen Storage
Alvaro Carbonero Gonzales ⋅ Shaowen Mao ⋅ Mohamed Mehana
Categorization of Meteorological Data by Contrastive Clustering
Michael Dammann ⋅ Ina Mattis ⋅ Michael Neitzke ⋅ Ralf Möller
AI-driven emulation of ocean dynamics on sub-seasonal scales
Suyash Bire ⋅ Jean Kossaifi ⋅ Simone Silvestri ⋅ Nikola Kovachki ⋅ Kamyar Azizzadenesheli ⋅ Chris Hill ⋅ Anima Anandkumar
Calibrating Bayesian UNet++ for Sub-seasonal Forecasting
Büşra Asan ⋅ Abdullah Akgül ⋅ Alper Unal ⋅ Melih Kandemir ⋅ Gozde Unal
A Benchmark Dataset for Meteorological Downscaling
Michael Langguth ⋅ Paula Harder ⋅ Irene Schicker ⋅ Ankit Patnala ⋅ Sebastian Lehner ⋅ Konrad Mayer ⋅ Markus Dabernig
Severe Wind Event Prediction with Multivariate Physics-Informed Deep Learning
Willa Potosnak ⋅ Cristian Challu ⋅ Kin G. Olivares ⋅ James Miller ⋅ Artur Dubrawski
Identifying Climate Targets in National Laws and Policies using Machine Learning
Matyas Juhasz ⋅ Tina Marchand ⋅ Roshan Melwani ⋅ Kalyan Dutia ⋅ Sarah Goodenough ⋅ Harrison Pim ⋅ Henry Franks
Identifying Complex Dynamics of Power Grid Frequency
Xinyi Wen ⋅ Ulrich Oberhofer ⋅ Leonardo Rydin Gorjão ⋅ G.Cigdem YALCIN ⋅ Veit Hagenmeyer ⋅ Benjamin Schäfer
Empowering Safe Reinforcement Learning in Power System Control with CommonPower
Hannah Markgraf ⋅ Michael Eichelbeck ⋅ Matthias Althoff
Understanding drivers of climate extremes using regime-specific causal graphs
Oana-Iuliana Popescu ⋅ Wiebke Günther ⋅ Raed Hamed ⋅ Dominik Schumacher ⋅ Martin Rabel ⋅ Dim Coumou ⋅ Jakob Runge
Planning for Floods & Droughts: Intro to AI-Driven Hydrological Modeling
Kshitij Tayal ⋅ Arvind Renganathan ⋅ Dan Lu
One Prompt Fits All: Visual Prompt-Tuning for Remote Sensing Segmentation
Marshall Wang ⋅ John Willes ⋅ Deval Pandya
Advancing Earth System Model Calibration: A Diffusion-Based Method
Yanfang Liu ⋅ Dan Lu ⋅ Zezhong Zhang ⋅ Feng Bao ⋅ Guannan Zhang
Reconstructing the Breathless Ocean with Spatio-Temporal Graph Learning
Bin Lu ⋅ Ze Zhao ⋅ Luyu Han ⋅ Xiaoying Gan ⋅ Yuntao Zhou ⋅ Lei Zhou ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Chenghu Zhou ⋅ Jing Zhang
Global Vegetation Modeling With Pre-Trained Weather Transformers
Pascal Janetzky ⋅ Florian Gallusser ⋅ Simon Hentschel ⋅ Andreas Hotho ⋅ Anna Krause
Building Ocean Climate Emulators
Adam Subel ⋅ Laure Zanna
Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting
Tung Nguyen ⋅ Rohan Shah ⋅ Hritik Bansal ⋅ Troy Arcomano ⋅ Sandeep Madireddy ⋅ Romit Maulik ⋅ Veerabhadra Kotamarthi ⋅ Ian Foster ⋅ Aditya Grover
Extreme Precipitation Nowcasting using Transformer-based generative models
Cristian Meo ⋅ Mircea Lica ⋅ Ankush Roy ⋅ Zeina Boucher ⋅ Junzhe Yin ⋅ Yanbo Wang ⋅ Ruben Imhoff ⋅ Remko Uijlenhoet ⋅ Justin Dauwels
Planning for Floods & Droughts: Intro to AI-Driven Hydrological Modeling
Kshitij Tayal ⋅ Arvind Renganathan ⋅ Dan Lu
One Prompt Fits All: Visual Prompt-Tuning for Remote Sensing Segmentation
Marshall Wang ⋅ John Willes ⋅ Deval Pandya