14 citations · 14 across the 1 of their papers we have counts for
7 papers
Neural Control Variates
Thomas Müller, Fabrice Rousselle, Jan Novák +1
We propose neural control variates (NCV) for unbiased variance reduction in parametric Monte Carlo integration. So far, the core challenge of applying the method of control variate…
Rethinking Full Connectivity in Recurrent Neural Networks
Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang
Recurrent neural networks (RNNs) are omnipresent in sequence modeling tasks. Practical models usually consist of several layers of hundreds or thousands of neurons which are fully…
Instant Quantization of Neural Networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller
Low bit-width integer weights and activations are very important for efficient inference, especially with respect to lower power consumption. We propose Monte Carlo methods to quan…
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
Nikolaus Binder, Alexander Keller
We compare different methods for sampling from discrete probability distributions and introduce a new algorithm which is especially efficient on massively parallel processors, such…
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
Nikolaus Binder, Alexander Keller
We present a fast and efficient method for intersecting rays with Catmull-Clark subdivision surfaces. It takes advantage of the approximation democratized by OpenSubdiv, in which r…
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Nikolaus Binder, Alexander Keller
Analyzing and identifying the shortcomings of current subdivision methods for finding intersections of rays with fibers defined by the surface of a circular contour swept along a B…