Causal discovery from temporal data: An overview and new perspectives
Temporal data, representing chronological observations of complex systems, has always
been a typical data structure that can be widely generated by many domains, such as …
been a typical data structure that can be widely generated by many domains, such as …
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Earth observation (EO) is increasingly used for map** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but …
Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …
Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but …
Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this paper consists of two parts. In the previous Part 1, existing EO optical …
Intelligence (AGI), this paper consists of two parts. In the previous Part 1, existing EO optical …
Identifying compound weather drivers of forest biomass loss with generative deep learning
Globally, forests are net carbon sinks that partly mitigates anthropogenic climate change.
However, there is evidence of increasing weather-induced tree mortality, which needs to be …
However, there is evidence of increasing weather-induced tree mortality, which needs to be …
Causality for Earth Science--A Review on Time-series and Spatiotemporal Causality Methods
This survey paper covers the breadth and depth of time-series and spatiotemporal causality
methods, and their applications in Earth Science. More specifically, the paper presents an …
methods, and their applications in Earth Science. More specifically, the paper presents an …
4.3 Causality is all you need
G Camps-Valls - Space and Artificial Intelligence - drops.dagstuhl.de
This talk encapsulates a foundational exploration into causal inference, discovery, and effect
estimation, offering a comprehensive 101 guide to the methods and techniques essential for …
estimation, offering a comprehensive 101 guide to the methods and techniques essential for …