Zobrazeno 1 - 10
of 16 839
pro vyhledávání: '"DeSantis"'
Dissertation/ Thesis
Autor:
DeSantis, Mark
A general purpose technology (GPT) is an exceptional link in a complex chain of innovations connected through space and time. Common examples include the steam engine, electrification, and the automobile (Bresnahan & Trajtenberg, 1995; Bresnahan & Tr
Externí odkaz:
http://hdl.handle.net/20.500.12613/10344
We present a theory of causality in dynamical systems using Koopman operators. Our theory is grounded on a rigorous definition of causal mechanism in dynamical systems given in terms of flow maps. In the Koopman framework, we prove that causal mechan
Externí odkaz:
http://arxiv.org/abs/2410.10103
Autor:
Danis, Mustafa Engin, Truong, Duc P., DeSantis, Derek, Petersen, Mark, Rasmussen, Kim O., Alexandrov, Boian S.
In this paper, we introduce a high-order tensor-train (TT) finite volume method for the Shallow Water Equations (SWEs). We present the implementation of the $3^{rd}$ order Upwind and the $5^{th}$ order Upwind and WENO reconstruction schemes in the TT
Externí odkaz:
http://arxiv.org/abs/2408.03483
Several Earth system components are at a high risk of undergoing rapid and irreversible qualitative changes or `tipping', due to increasing climate warming. Potential tipping elements include Arctic sea-ice, Atlantic meridional overturning circulatio
Externí odkaz:
http://arxiv.org/abs/2407.17357
Autor:
Xu, Wei, DeSantis, Derek Freeman, Luo, Xihaier, Parmar, Avish, Tan, Klaus, Nadiga, Balu, Ren, Yihui, Yoo, Shinjae
Learning a continuous and reliable representation of physical fields from sparse sampling is challenging and it affects diverse scientific disciplines. In a recent work, we present a novel model called MMGN (Multiplicative and Modulated Gabor Network
Externí odkaz:
http://arxiv.org/abs/2404.06418
Autor:
Hoffman, Benjamin, Cusimano, Maddie, Baglione, Vittorio, Canestrari, Daniela, Chevallier, Damien, DeSantis, Dominic L., Jeantet, Lorène, Ladds, Monique A., Maekawa, Takuya, Mata-Silva, Vicente, Moreno-González, Víctor, Pagano, Anthony, Trapote, Eva, Vainio, Outi, Vehkaoja, Antti, Yoda, Ken, Zacarian, Katherine, Friedlaender, Ari
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. Machine learning techniques are used for interpreting the large amounts of
Externí odkaz:
http://arxiv.org/abs/2305.10740