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1906.05433
Cited By
Tackling Climate Change with Machine Learning
10 June 2019
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
Kris Sankaran
A. Ross
Nikola Milojevic-Dupont
Natasha Jaques
Anna Waldman-Brown
A. Luccioni
Tegan Maharaj
Evan D. Sherwin
S. Mukkavilli
Konrad Paul Kording
Carla P. Gomes
Andrew Y. Ng
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4Cl
AI4CE
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Papers citing
"Tackling Climate Change with Machine Learning"
50 / 63 papers shown
Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser
Simon Hentschel
Anna Krause
Andreas Hotho
AI4Cl
37
0
0
05 May 2025
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Finn Gueterbock
Raúl Santos-Rodríguez
Jeffrey N Clark
24
0
0
23 Apr 2025
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
William R. Keely
Otto Lamminpää
Steffen Mauceri
Sean M. R. Crowell
Christopher W. O'Dell
Gregory R. McGarragh
50
0
0
23 Apr 2025
TerraTorch: The Geospatial Foundation Models Toolkit
Carlos Gomes
Benedikt Blumenstiel
Joao Lucas de Sousa Almeida
Pedro Henrique de Oliveira
P. Fraccaro
Francesc Marti Escofet
Daniela Szwarcman
Naomi Simumba
Romeo Kienzler
Bianca Zadrozny
69
1
0
26 Mar 2025
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
Haozhe Si
Yuxuan Wan
Minh Do
Deepak Vasisht
Han Zhao
Hendrik Hamann
45
0
0
17 Mar 2025
Inteligencia Artificial para la conservación y uso sostenible de la biodiversidad, una visión desde Colombia (Artificial Intelligence for conservation and sustainable use of biodiversity, a view from Colombia)
Juan Sebastián Canas
Camila Parra-Guevara
Manuela Montoya-Castrillón
Julieta M Ramírez-Mejía
Gabriel-Alejandro Perilla
...
Mario Murcia
Elkin A. Noguera-Urbano
Jose Manuel Ochoa-Quintero
Susana Rodríguez Buriticá
J. Ulloa
39
0
0
17 Mar 2025
Heterogeneous graph neural networks for species distribution modeling
Lauren Harrell
Christine Kaeser-Chen
Burcu Karagol Ayan
Keith Anderson
Michelangelo Conserva
Elise Kleeman
Maxim Neumann
Matt Overlan
Melissa Chapman
Drew Purves
49
0
0
14 Mar 2025
Generative Edge Detection with Stable Diffusion
Caixia Zhou
Yaping Huang
Mochu Xiang
Jiahui Ren
Haibin Ling
Jing Zhang
56
0
0
04 Oct 2024
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
40
1
0
26 Jul 2024
Faraday: Synthetic Smart Meter Generator for the smart grid
Sheng Chai
Gus Chadney
31
4
0
05 Apr 2024
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
Shiyuan Luo
Juntong Ni
Shengyu Chen
Runlong Yu
Yiqun Xie
Licheng Liu
Zhenong Jin
Huaxiu Yao
Xiaowei Jia
26
8
0
17 Nov 2023
Unified machine learning tasks and datasets for enhancing renewable energy
Arsam Aryandoust
Thomas Rigoni
Francesco di Stefano
Anthony Patt
37
0
0
12 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
43
5
0
01 Nov 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
29
15
0
05 Sep 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
30
0
0
28 Jul 2023
AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring
Juan Sebastián Canas
Maria Paula Toro-Gómez
L. S. M. Sugai
H. Benítez-Restrepo
J. Rudas
...
José Luiz Massao Moreira Sugai
Carolina Emília dos Santos
R. Bastos
Diego Llusia
J. Ulloa
28
18
0
11 Jul 2023
A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact
Álvaro Huertas-García
Carlos Martí-González
Rubén García Maezo
Alejandro Echeverría Rey
19
3
0
01 Jul 2023
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
32
1
0
07 Jun 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li
Jianyi Yang
M. A. Islam
Shaolei Ren
81
120
0
06 Apr 2023
Green Federated Learning
Ashkan Yousefpour
Sheng Guo
Ashish Shenoy
Sayan Ghosh
Pierre Stock
Kiwan Maeng
Schalk-Willem Kruger
Michael G. Rabbat
Carole-Jean Wu
Ilya Mironov
FedML
AI4CE
36
10
0
26 Mar 2023
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
B. Demiray
M. Sit
Ibrahim Demir
26
4
0
09 Mar 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro
C. L. Zitnick
3DPC
26
79
0
07 Feb 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
OffRL
30
15
0
30 Jan 2023
Factors other than climate change are currently more important in predicting how well fruit farms are doing financially
Fabian Obster
Heidi Bohle
P. Pechan
14
1
0
11 Jan 2023
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
A. Proma
Md. Saiful Islam
Stela Ciko
Raiyan Abdul Baten
E. Hoque
34
3
0
21 Dec 2022
Cooperative control of environmental extremes by artificial intelligent agents
Martí Sánchez-Fibla
Clément Moulin-Frier
Ricard Solé
AI4CE
11
2
0
05 Dec 2022
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
Joseph Early
Y.-J. C. Deweese
C. Evers
Sarvapali Ramchurn
11
1
0
15 Nov 2022
Contrastive Learning for Climate Model Bias Correction and Super-Resolution
Tristan C Ballard
Gopal Erinjippurath
AI4Cl
6
4
0
10 Nov 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
33
4
0
10 Nov 2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
Le Xie
Tong Huang
Xiangtian Zheng
Yan Liu
M. Wang
V. Vittal
P. Kumar
S. Shakkottai
Yi Cui
MedIm
AI4CE
10
11
0
02 Nov 2022
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks
A. S. Bansal
Yoonjin Lee
Kyle Hilburn
I. Ebert‐Uphoff
AI4TS
31
2
0
22 Oct 2022
AutoML for Climate Change: A Call to Action
Renbo Tu
Nicholas Roberts
Vishak Prasad
Sibasis Nayak
P. Jain
Frederic Sala
Ganesh Ramakrishnan
Ameet Talwalkar
W. Neiswanger
Colin White
25
6
0
07 Oct 2022
AICCA: AI-driven Cloud Classification Atlas
Takuya Kurihana
Elisabeth Moyer
Ian T. Foster
12
12
0
29 Sep 2022
AA-Forecast: Anomaly-Aware Forecast for Extreme Events
Ashkan Farhangi
Jiang Bian
Arthur Huang
Haoyi Xiong
Jun Wang
Zhi-guo Guo
AI4TS
19
4
0
21 Aug 2022
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi
Eftychios E. Protopapadakis
A. Voulodimos
N. Doulamis
Anastasios Doulamis
24
64
0
05 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Taehyeon Kim
Namgyu Ho
Donggyu Kim
Se-Young Yun
BDL
12
6
0
30 Jun 2022
Towards Climate Awareness in NLP Research
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
25
32
0
10 May 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
Antonios Mamalakis
E. Barnes
I. Ebert‐Uphoff
19
73
0
07 Feb 2022
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities
Mi-Gyoung Cho
A. Mashhadi
FedML
23
1
0
20 Jan 2022
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva
Matthew Purri
Matthew J. Leotta
SSL
19
58
0
03 Dec 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi
Victoria Dean
Deepak Pathak
Abhinav Gupta
LM&Ro
25
50
0
25 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
28
93
0
02 Nov 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
Anne-Laure Ligozat
J. Lefèvre
Aurélie Bugeau
Jacques Combaz
11
94
0
22 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
20
43
0
12 Oct 2021
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
M. Sit
B. Seo
Ibrahim Demir
15
9
0
20 Sep 2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
Bo-wen Li
Xinyang Jiang
Donglin Bai
Yuge Zhang
Ningxin Zheng
Xuanyi Dong
Lu Liu
Yuqing Yang
Dongsheng Li
14
10
0
30 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser
Jed Mills
Jia Hu
Geyong Min
Rui Jin
Siwei Zheng
Jin Wang
FedML
AI4CE
32
9
0
20 Aug 2021
Demand Forecasting in Smart Grid Using Long Short-Term Memory
Koushik Roy
Abtahi Ishmam
K. A. Taher
AI4TS
9
13
0
28 Jul 2021
Quantum Artificial Intelligence for the Science of Climate Change
Manmeet Singh
C. Dhara
Adarsh Kumar
S. Gill
Steve Uhlig
AI4CE
14
15
0
28 Jul 2021
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
M. Sit
B. Seo
Ibrahim Demir
11
27
0
07 Jul 2021
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