161 citations
- Cornell UniversityUS6 papers
- Université de MontréalCA6 papers
- Centre de recherches mathématiquesCA4 papers
- Czech Technical University in PragueCZ4 papers
- City University of New YorkUS2 papers
- Hunter CollegeUS2 papers
- The Graduate Center, CUNYUS2 papers
- University of OttawaCA2 papers
- Adolfo Ibáñez UniversityCL1 paper
- Aston UniversityGB1 paper
- Barcelonaβeta Brain Research CenterES1 paper
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Showing 2023Show all
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cs.LG2023★ 25 cited
A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems
Shuo Zhang, Yang Liu, Lei Xie
Molecular sciences address a wide range of problems involving molecules of different types and sizes and their complexes. Recently, geometric deep learning, especially Graph Neural…
stat.ML2023★ 1 cited
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
Taehyo Kim, Hai Shu, Qiran Jia +1
Voxel-based multiple testing is widely used in neuroimaging data analysis. Traditional false discovery rate (FDR) control methods often ignore the spatial dependence among the voxe…
q-bio.NC2023
Ordinal Characterization of Similarity Judgments
Jonathan D. Victor, Guillermo Aguilar, Suniyya A. Waraich
Characterizing judgments of similarity within a perceptual or semantic domain, and making inferences about the underlying structure of this domain from these judgments, has an incr…