Don't Pay Attention to the Noise: Learning Self-supervised Light Curve Representations with a Denoising Time Series Transformer
Mario Morvan (University College London); Nikolaos Nikolaou (University College London); Kai Yip (University College London); Ingo Waldmann (University College London)
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Convolutional autoencoders for spatially-informed ensemble post-processing
Sebastian Lerch (Karlsruhe Institute of Technology); Kai L Polsterer (HITS gGmbH)
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Hurricane Forecasting: A Novel Multimodal Machine Learning Approach
Léonard Boussioux (MIT, CentraleSupélec); Cynthia Zeng (MIT); Théo J Guenais (Harvard University); Dimitris Bertsimas (MIT)
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GRASP EARTH: Intuitive Software for Discovering Changes on the Planet
Waku Hatakeyama (Ridge-i); Shiro Kawakita (Ridge-i); Ryohei Izawa (Ridge-i Inc.); Masanari Kimura (Graduate University for Advanced Studies;Ridge-i inc.)
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Comparing Loss Representations for SAR Sea Ice Concentration Charting
Andrzej S Kucik (European Space Agency); Andreas Stokholm (DTU Space)
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Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation
Ileana Rugina (MIT); Rumen R Dangovski (MIT); Mark Veillette (MIT Lincoln Laboratory); Pooya Khorrami (MIT Lincoln Laboratory); Brian Cheung (UC Berkeley); Olga Simek (MIT-LL); Marin Soljacic (MIT)
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Unsupervised Downscaling of Sea Surface Height with Deep Image Prior
Arthur Filoche (Sorbonne Université, LIP6); Théo Archambault (Sorbonne Université); Dominique Béréziat (Sorbonne Université); Anastase Charantonis (Sorbonne Université, ENSIIE)
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MIMSS: A Dataset to evaluate Multi-Image Multi-Spectral Super-Resolution on Sentinel 2
Muhammed T Razzak (University of Oxford); Gonzalo Mateo-Garcia (University of Valencia); Gurvan Lecuyer (ESA); Gomez-Chova, Luis (); Yarin Gal (University of Oxford); Freddie Kalaitzis (University of Oxford)
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Imbalance-Aware Learning for Deep Physics Modeling
Takahito Yoshida (Osaka University); Takaharu Yaguchi (Kobe University); Takashi Matsubara (Osaka University)
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Testing Interpretability Techniques for Deep Statistical Climate Downscaling
Jose González-Abad (Instituto de Fı́sica de Cantabria (IFCA), CSIC-Universidad de Cantabria); Jorge Baño-Medina (Institute of Physics of Cantabria); José Manuel Gutiérrez (Instituto de Fı́sica de Cantabria (IFCA), CSIC-Universidad de Cantabria)
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Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario A Lino (Imperial College London); Stathi Fotiadis (Imperial College London); Anil Anthony Bharath ((Imperial College of London,UK)); Chris Cantwell (Imperial College London)
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Street-Level Air Pollution Modelling with Graph Gaussian Processes
Thomas Pinder (Lancaster University); Kathryn Turnbull (); Christopher Nemeth (University of Lancaster); David S Leslie (Lancaster University)
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Multimodel Ensemble Predictions of Precipitation using Bayesian Neural Networks
Ming Fan (Oak Ridge National Laboratory); Dan Lu (Oak Ridge National Laboratory); Deeksha Rastogi (Oak Ridge National Lab)
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A weakly supervised framework for high-resolution crop yield forecasts
Dilli R Paudel (Wageningen University and Research); Diego Marcos (Wageningen University); Allard de Wit (Wageningen Environmental Research); Hendrik Boogaard (Wageningen Environmental Research); Ioannis N Athanasiadis (Wageningen University and Research)
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An interpretable machine learning model for advancing terrestrial ecosystem predictions
Dan Lu (Oak Ridge National Laboratory); Daniel Ricciuto (Oak Ridge National Laboratory); Siyan Liu (Oak Ridge National Laboratory)
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Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems
Saviz Mowlavi (MIT); mouhacine Benosman (MERL); Saleh Nabi ()
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Machine learning based surrogate modelling and parameter identification for wildfire forecasting
Sibo Cheng (Imperial College London); Rossella Arcucci (Imperial College London)
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Trainable Wavelet Neural Network for Non-Stationary Signals
Jason Stock (Colorado State University); Charles Anderson (Colorado State University)
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Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
Tailin Wu (Stanford); Qinchen Wang (Stanford); Yinan Zhang (Stanford University ); Rex Ying (Stanford University); Kaidi Cao (Stanford University); Rok Sosic (Stanford University); Ridwan Jalali (Saudi Aramco); Hassan Hamam (Saudi Aramco); Marko Maucec (Saudi Aramco); Jure Leskovec (Stanford University)
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Practical Advances in Short-Term Spectral Wave Forecasting with SWRL Net
Chloe Dawson (Western Washington University); Noah Reneau (Western Washington University); Brian Hutchinson (Western Washington University); Sean Crosby (Western Washington University / USGS)
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FourCastNet: A Data-driven Model for High-resolution Weather Forecasts using Adaptive Fourier Neural Operators
Jaideep Pathak (NVIDIA Corporation); Shashank Subramanian (Lawrence Berkeley National Laboratory); Peter Harrington (Lawrence Berkeley National Laboratory (Berkeley Lab)); Sanjeev Raja (University of Michigan); Ashesh K Chattopadhyay (Rice University); Morteza Mardani (NVIDIA Corporation); Thorsten Kurth (Nvidia); David M. Hall (NVIDIA); Zongyi Li (NVIDIA/Caltech); Kamyar Azizzadenesheli (Purdue University); Pedram Hassanzadeh (Rice University); Karthik Kashinath (NVIDIA Corporation); Anima Anandkumar (NVIDIA/Caltech)
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Interpretable Climate Change Modeling with Progressive Cascade Networks
Charles Anderson (Colorado State University); Jason Stock (Colorado State University); David Anderson (SurveyMonkdy)
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Invertible neural networks for E3SM land model calibration and simulation
Dan Lu (Oak Ridge National Laboratory); Daniel Ricciuto (Oak Ridge National Laboratory); Jiaxin Zhang (Oak Ridge National Laboratory)
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Conditional Emulation of Global Precipitation with Generative Adversarial Networks
Alexis Ayala (Microsoft); Chris Drazic (Western Washington University); Seth Bassetti (Western Washington University); Eric Slyman (Oregon State University); Brenna Nieva (Western Washington University); Piper Wolters (Allen Institute of AI); Kyle Bittner (Western Washington University); Claudia Tebaldi (Lawrence Berkeley National Laboratory); Ben Kravitz (Indiana University); Brian Hutchinson (Western Washington University)
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Group Equivariant Neural Networks for Spectropolarimetric Inversions in Solar Astronomy
Michael B Ito (University of Hawaii at Manoa); Ian Cunnyngham (University of Hawaii); Xudong Sun (University of Hawaii); Peter Sadowski (University of Hawaii Manoa)
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Deep Learning-Based Surrogate Modelling of Thermal Plumes for Shallow Subsurface Temperature Approximation
Raphael Leiteritz (University of Stuttgart, IPVS); Kyle Davis (University of Stuttgart.de); Miriam Schulte (University of Stuttgart); Dirk Pflüger (University of Stuttgart, IPVS)
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Learning latent representations for operational nitrogen response rate prediction
Christos Pylianidis (Wageningen University and Research); Ioannis N Athanasiadis (Wageningen University and Research)
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Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs
Peiyan Hu (University of Chinese Academy of Sciences); Qi Meng (Microsoft); Bingguang Chen (Chinese Academy of Sciences); Shiqi Gong (University of Chinese Academy of Sciences); Yue Wang (Microsoft Research Asia); Wei Chen (Chinese Academy of Sciences); Rongchan Zhu (Bielefeld University); Zhiming Ma (); Tie-Yan Liu (Microsoft Research)
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Improving remote monitoring of carbon stock in tropical forests with machine learning, a case study in Indonesian Borneo
Andrew Chamberlin (Stanford University); Krti Tallam (Stanford University); Zac Yung-Chun Liu (Stanford University); Giulio De Leo (Stanford University)
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Development and Statistical Analysis of an Automated Meteor Detection Pipeline for GOES Weather Satellites
Smith, Jeffrey C; Morris, Robert; Longenbaugh, Randolph; Clark, Alexandria; Dotson, Jessie; McCurdy, Nina; Henze, Christopher
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DRIFT-NCRN: A BENCHMARK DATASET FOR DRIFTER TRAJECTORY PREDICTION
Hansen, Johanna; Virji, Khalil; Manderson, Travis ; Meger, David; Dudek, Gregory
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Detection of southern sea otters (Enhydra lutris nereis) from aerial imaging on the Monterey Peninsula
Daly, Margaret
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APOGEE Net: An expanded spectral model of both low mass and high mass stars
Sprague, Dani; Culhane, Connor; Kounkel, Marina; Olney, Richard; Covey, Kevin; Hutchinson, Brian
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Monitoring a High-Arctic food web from space with machine learning
Villeneuve, Catherine; Duchesne, Éliane; Cadieux, Marie-Christine; Gauthier, Gilles; Bêty, Joël; Legagneux, Pierre; Durand, Audrey
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Geospatial Deep Learning Technique to Detect and Classify Geo-structure Failures in Mississippi
Salunke, Rakesh; Khan, Mohammad Sadik
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