466 citations
- Astrogeology Science CenterUS20 papers
- Jet Propulsion LaboratoryUS17 papers
- Planetary Science InstituteUS16 papers
- University of ArizonaUS13 papers
- Cornell UniversityUS10 papers
- Ames Research CenterUS9 papers
- California Institute of TechnologyUS9 papers
- Colorado State UniversityUS9 papers
- University of California, Los AngelesUS9 papers
- Goddard Space Flight CenterUS8 papers
- Massachusetts Institute of TechnologyUS8 papers
- Johns Hopkins UniversityUS7 papers
7 papers · 1 filter
Multi-Scale Graph Learning for Anti-Sparse Downscaling
Yingda Fan, Runlong Yu, Janet R. Barclay +4
Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature at fine spatial resolutions (i.e…
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione +15
Animal-borne sensors (`bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Mach…
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen, Alison P. Appling, Pierre Gentine +27
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceived as distinct paradigms in the geosciences. Here we present differentiable geoscientific modeling as a powe…
How to select an objective function using information theory
Timothy O. Hodson, Thomas M. Over, Tyler J. Smith +1
In machine learning or scientific computing, model performance is measured with an objective function. But why choose one objective over another? Information theory gives one answe…
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning
Jared D. Willard, Jordan S. Read, Alison P. Appling +3
Most environmental data come from a minority of well-monitored sites. An ongoing challenge in the environmental sciences is transferring knowledge from monitored sites to unmonitor…
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne +4
Physics-based models of dynamical systems are often used to study engineering and environmental systems. Despite their extensive use, these models have several well-known limitatio…