This repo accompanies my course project report on Bayesian Prompt Learning (BPL), a variational formulation of prompt learning for CLIP that learns a distribution over prompt residuals and averages ...
1 Department of Basic Courses, Suzhou Key Lab of Multi-Modal Data Fusion and Intelligent Healthcare, Suzhou City University, Suzhou, China 2 School of Science, Xi’an University of Architecture and ...
INCHEON, South Korea--(BUSINESS WIRE)--Celltrion, Inc. today announced that the European Commission (EC) has granted marketing authorization for Remsimaâ„¢ IV (intravenous) liquid formulation, the world ...
Fenicsx does not seem to support Petrov-Galerkin type discretizations, i.e. using different Trial and Test spaces, at the moment, see This seems to me like a major flaw, as these formulations are ...
ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
This paper presents a new triangular multi-layer nonlinear shell finite element with incremental degrees of freedom, suitable for large displacements and rotations. This is a nonconforming element ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Most widely used quantum chemistry methods rely on the ...
ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...
Abstract: Artificial neural networks are a robust tool for approximating spatial and temporal functions. This study introduces a novel method for hydro- and hemodynamics based on the minimization of a ...
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