SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps
Computer Graphics Forum, EarlyView.Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley +1 more source
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. [PDF]
Sensors (Basel), 2022 Nguyen TK, Ahmad Z, Kim JM.
europepmc +1 more source
Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns
Computer Graphics Forum, EarlyView.Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner +2 more
wiley +1 more source
Construction of an individualized brain metabolic network in patients with advanced non-small cell lung cancer by the Kullback-Leibler divergence-based similarity method: A study based on 18F-fluorodeoxyglucose positron emission tomography. [PDF]
Front Oncol, 2023 Yu J +6 more
europepmc +1 more source
GNOCHI: Generative Neural mOdel for Close Human‐Human Interactions
Computer Graphics Forum, EarlyView.Abstract Creating realistic 3D human‐human interactions in virtual environments is challenging due to the high degrees of freedom in human body and the need for physically accurate poses that do not collide with each other. Traditional methods for humanhuman interaction are based on motion tracking or 3D body reconstruction, but lack generative ...
Gonzalo Gómez‐Nogales +3 more
wiley +1 more source
Survey on Compositional 3D Indoor Scene Generation
Computer Graphics Forum, EarlyView.This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
Orthogonal nonnegative matrix factorization with the Kullback–Leibler divergence
Pattern Recognition Letters10 pages, corrected some ...
Nkurunziza, Jean Pacifique +2 more
openaire +3 more sources
Measuring Thematic Funds Performance via an Approach Based on Observable and Latent Factors
European Financial Management, EarlyView.ABSTRACT This paper investigates whether thematic equity funds deliver abnormal performance relative to conventional global equity funds. Using Fama‐French models augmented with latent factors, we estimate fund‐level alphas, and apply the false discovery rate methodology to an estimated three‐group mixture distribution, separating good, null and bad ...
Maria Debora Braga +2 more
wiley +1 more source
Journal of Fish Biology, EarlyView.Abstract Marine fish species are likely to exhibit little genetic differentiation among populations due to their high dispersal potential during early life stages and migratory nature. However, recent studies have increasingly reported intraspecific genetic differentiation resulting from species‐specific ecological traits, environmental factors, and ...
Yuki Yamamoto +7 more
wiley +1 more source
A New Estimator of Kullback–Leibler Divergence via Shannon Entropy
EntropyWe examine the estimation of the Kullback–Leibler (KL) divergence and the use of the goodness-of-fit test for multivariate normality. Our starting point is the maximum entropy principle for Shannon entropy: among all distributions with a fixed mean ...
Mehmet Sıddık Çadırcı +1 more
doaj +1 more source