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
- Carnegie Mellon UniversityUS1 paper
18 papers
The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales
Han-Jen Chang, Yasir Çatal, Angelika Wolman +5
Spoken language, whether produced by humans or large language models (LLM), unfolds over time with varying semantic content. However, we still lack simple, interpretable time-serie…
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
Hanlin Wu, Xufeng Duan, Zhenguang Cai
Voice-based AI development faces unique challenges in processing both linguistic and paralinguistic information. This study compares how large audio-language models (LALMs) and hum…
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
You Wu, Lei Xie
Despite the wealth of single-cell multi-omics data, it remains challenging to predict the consequences of novel genetic and chemical perturbations in the human body. It requires kn…
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…
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…
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…