Computational imaging systems face a fundamental challenge: real-world hardware never matches theoretical models. Manufacturing tolerances, alignment errors, optical aberrations, sensor noise, and ...

Explore NVIDIA's innovative approach to robotic simulations using Warp and Gaussian Splatting, facilitating real-time digital twin creation for enhanced robotic perception and interaction. NVIDIA is ...

Abstract: We consider iterative gradient-based optimization algorithms applied to functions that are smooth and strongly convex. The fastest globally convergent algorithm for this class of functions ...

ABSTRACT: The asymptotic behavior for a sequence of integrals ∫ a b f( x )g( nx )dx , a,b∈ℝ, as n→∞, is investigated, where f is continuous differentiable function and g is a continuous and periodic ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

On this page you will find the listing of graduate course descriptions (selected). See course listings for current semester, here. UB Registrar: Register for classes. Course information is subject to ...

Over the last decade, deep generative models have evolved to generate realistic and sharp images. The success of these models is often attributed to an extremely large number of trainable parameters ...