70 citations
- Leipzig UniversityDE2 papers
- Peking UniversityCN2 papers
- University of FloridaUS2 papers
- Adolfo Ibáñez UniversityCL1 paper
- Arizona State UniversityUS1 paper
- Beijing University of Civil Engineering and ArchitectureCN1 paper
- Budapest University of Technology and EconomicsHU1 paper
- California Institute of TechnologyUS1 paper
- California State University, FullertonUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chiba UniversityJP1 paper
- China Agricultural UniversityCN1 paper
16 papers
LLM-Guided Initialization for Accelerated Hybrid Quantum-Classical Medical Image Classification
Riza Alaudin Syah, Irwan Alnarus Kautsar, Haza Nuzly Bin Abdull Hamed
Variational quantum algorithms often encounter barren plateaus, where cost gradients decay rapidly with increasing circuit depth, undermining the trainability of parameterized quan…
Flare-driven habitability: Expanding life's potential around low-mass stars
Dong-Yang Gao, Hui-Gen Liu, Ming Yang +1
The traditional definition of the circumstellar habitable zone (HZ) focuses on liquid water, but neglects the crucial role of ultraviolet (UV) radiation in prebiotic chemistry. Low…
HyperScout-H: the hyperspectral imager for the ESA Hera mission
Marcel M. Popescu, Julia de León, George Pantelimon Prodan +16
The HyperScout-H (HS-H) instrument is one of the payloads aboard ESA's Hera spacecraft. Hera is a planetary defence mission that aims to provide a detailed characterization of the…
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
Ayushi Sharma, Johanna Trost, Daniel Lusk +14
Global plant maps of plant traits, such as leaf nitrogen or plant height, are essential for understanding ecosystem processes, including the carbon and energy cycles of the Earth s…
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
Hao Guo, Han Wang, Di Zhu +3
Modeling spatial heterogeneity in the data generation process is essential for understanding and predicting geographical phenomena. Despite their prevalence in geospatial tasks, ne…
Convex Optimization of Initial Perturbations toward Quantitative Weather Control
Toshiyuki Ohtsuka, Atsushi Okazaki, Masaki Ogura +1
This study proposes introducing convex optimization to find initial perturbations of atmospheric states to realize specified changes in subsequent weather. In the proposed method,…