Shape‐Conditioned Human Motion Diffusion Model with Mesh Representation
Abstract Human motion generation is a key task in computer graphics. While various conditioning signals such as text, action class, or audio have been used to harness the generation process, most existing methods neglect the case where a specific body is desired to perform the motion.
Kebing Xue+3 more
wiley +1 more source
Multi-task genomic prediction using gated residual variable selection neural networks. [PDF]
Fan Y, Waldmann P.
europepmc +1 more source
Analysis of spatial correlations in a model two-dimensional liquid through eigenvalues and eigenvectors of atomic-level stress matrices [PDF]
V. A. Levashov, М. Г. Степанов
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PrismBreak: Exploration of Multi‐Dimensional Mixture Models
Abstract In data science, visual data exploration becomes increasingly more challenging due to the continued rapid increase of data dimensionality and data sizes. To manage complexity, two orthogonal approaches are commonly used in practice: First, data is frequently clustered in high‐dimensional space by fitting mixture models composed of normal ...
B. Zahoransky, T. Günther, K. Lawonn
wiley +1 more source
Explainable Graph Spectral Clustering of text documents. [PDF]
Starosta B+5 more
europepmc +1 more source
A transparent approach to solving linear rational expectation models
Abstract This paper proposes a simple iterative method—time iteration—to solve linear rational expectation models. I prove that this method converges to the desired stable solution, and provide the conditions under which the solution is unique. Apart from its transparency and simplicity of implementation, the method provides a straightforward approach ...
Pontus Rendahl
wiley +1 more source
On the extended eigenvalues and extended eigenvectors of shift operator on the Wiener algebra
Mehmet Gürdal
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ABSTRACT In recent decades, digital transformation has proliferated and prevailed among firms, profoundly affecting their operations, investments, and information management. To the extent that applying digital technologies has pros and cons to business activities, its implications for future firm performance remain uncertain to stock market ...
Guanming He+2 more
wiley +1 more source
Unveiling multiscale spatiotemporal dynamics of volatility in high-frequency financial markets. [PDF]
Ouyang F, Peng W, Chen T.
europepmc +1 more source
Estimating Hedge Fund Leverage: A Three‐Step Estimation Protocol
ABSTRACT Utilizing a micro‐level hedge fund dataset, we propose a methodology for estimating hedge fund leverage. Initially, we perform a Principal Component Analysis on a set of 49 risk factors for dimension deduction purposes. After acquiring 10 Principal Components, we deploy the Least Absolute Shrinkage and Selection Operator regression (Lasso) per
Ariston Karagiorgis, Konstantinos Drakos
wiley +1 more source