Machine Learning for the Geosciences: Challenges and Opportunities

13 November 2017

Anuj Karpatne

Papers citing "Machine Learning for the Geosciences: Challenges and Opportunities"

26 / 26 papers shown

Title
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 95 0 0 04 Feb 2025
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 42 118 0 16 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 42 9 0 11 Oct 2023
An evaluation of pre-trained models for feature extraction in image classification Erick da Silva Puls M. V. Todescato J. Carbonera CLIP VLM 27 10 0 03 Oct 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 46 6 0 06 Apr 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals Ruiqing Ding Fang-Ning Rong Xiao Han Leye Wang 30 4 0 11 Feb 2023
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar Mihai Datcu Zhongling Huang Andrei Anghel Juanping Zhao R. Cacoveanu 37 0 0 09 Jan 2023
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data Joaquín Salas Anamitra Saha S. Ravela AI4CE 16 0 0 15 Dec 2022
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values Sachin A. Reddy Colin Forsyth A. Aruliah Andy Smith Jacob Bortnik Ercha Aa D. Kataria Gethyn Lewis 6 11 0 27 Sep 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 25 13 0 03 Jun 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 51 57 0 31 Mar 2022
Combining Deep Learning with Physics Based Features in Explosion-Earthquake Discrimination Qingkai Kong Ruijia Wang W. Walter M. Pyle K. Koper B. Schmandt AI4CE 23 35 0 12 Mar 2022
DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance Shao Zhang Yuting Jia Hui Xu Ying Wen Dakuo Wang Xinbing Wang 26 2 0 21 Feb 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 31 73 0 07 Feb 2022
Rotation Equivariant Deforestation Segmentation and Driver Classification Joshua Mitton Roderick Murray-Smith 19 7 0 25 Oct 2021
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications Qingkai Kong A. Chiang A. C. Aguiar M. G. Fernández-Godino S. Myers Donald D. Lucas 27 16 0 22 Oct 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Yangqiu Song Runze Wu Fei Wu Lanfen Lin CML 47 38 0 13 Jul 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 30 75 0 18 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods B. Hamzi R. Maulik H. Owhadi AI4TS 17 28 0 13 Feb 2021
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration Miroslav Kosanic V. Milutinovic AI4CE 18 3 0 05 Feb 2021
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery Jeremy Irvin Hao Sheng Neel Ramachandran Sonja Johnson-Yu Sharon Zhou Kyle T. Story Rose Rustowicz Cooper W. Elsworth K. Austin A. Ng 20 41 0 11 Nov 2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning J. Willard J. Read A. Appling S. Oliver X. Jia Vipin Kumar AI4TS 22 56 0 10 Nov 2020
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade A. Azari J. Biersteker R. Dewey Gary Doran Emily J. Forsberg ... V. D. Poian T. Garton Michael D. Himes S. Millholland S. Ruhunusiri AI4Cl 10 29 0 29 Jul 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting Rafaela C. Nascimento Y. M. Souto Eduardo S. Ogasawara Fábio Porto Eduardo Bezerra AI4TS 17 83 0 30 Nov 2019
Dispersion Characterization and Pulse Prediction with Machine Learning Sanjaya Lohani Erin M. Knutson Wenlei Zhang R. Glasser 11 10 0 05 Sep 2019