This is the official implementation of the paper, titled "Neural Path Guiding with Distribution Factorization", presented at EGSR 2025. Distribution Factorization (DF) factorizes the 2D directional ...

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

Researchers have pioneered a new approach to simulate turbulent systems, based on probabilities. Researchers at the University of Oxford have pioneered a new approach to simulate turbulent systems, ...

1 School of Power and Intelligent Manufacturing, Guangzhou Huali Science and Technology Vocational College, Guangzhou, China 2 School of Electrical Engineering and Automation, Harbin Institute of ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...

Background: Although several strategies for modelling competing events in discrete event simulation (DES) exist, a methodological gap for the event-specific probabilities and distributions (ESPD) ...