Results 11 to 20 of about 3,720,590 (347)
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction [PDF]
We present a super-fast convergence approach to reconstructing the per-scene radiance field from a set of images that capture the scene with known poses.
Cheng Sun, Min Sun, Hwann-Tzong Chen
semanticscholar +1 more source
Conditional DETR for Fast Training Convergence [PDF]
The recently-developed DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the critical issue, slow training convergence, and present a conditional cross ...
Depu Meng +7 more
semanticscholar +1 more source
Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion) [PDF]
Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm.
Aki Vehtari +4 more
semanticscholar +1 more source
Modularity of Convergence and Strong Convergence in Infinitary Rewriting [PDF]
Properties of Term Rewriting Systems are called modular iff they are preserved under (and reflected by) disjoint union, i.e. when combining two Term Rewriting Systems with disjoint signatures.
A. Arnold and M. Nivat +9 more
core +2 more sources
Rainwater-Simons-type convergence theorems for generalized convergence methods [PDF]
We extend the well-known Rainwater-Simons convergence theorem to various generalized convergence methods such as strong matrix summability, statistical convergence and almost convergence.
Hardtke, Jan-David
core +4 more sources
Weak Convergence of $n$-Particle Systems Using Bilinear Forms [PDF]
The paper is concerned with the weak convergence of $n$-particle processes to deterministic stationary paths as $n\to\infty$. A Mosco type convergence of a class of bilinear forms is introduced.
Löbus, Jörg-Uwe
core +1 more source
Convergence and Cointegration [PDF]
This paper provides a new, united, and flexible framework to measure and characterize convergence in prices. We formally define this notion and propose a model to represent a wide range of transition paths that converge to a common steady-state. Our framework enables the econometric measurement of such transi-tional behaviors and the development of ...
Alfredo García-Hiernaux +1 more
openaire +4 more sources
Deep Q-network to produce polarization-independent perfect solar absorbers: a statistical report
Using reinforcement learning, a deep Q-network was used to design polarization-independent, perfect solar absorbers. The deep Q-network selected the geometrical properties and materials of a symmetric three-layer metamaterial made up of circular rods on ...
Iman Sajedian +3 more
doaj +1 more source
The understanding of the endocytosis process of internalized nanomedicines through membrane biomarker is essential for the development of molecular-specific nanomedicines.
Minhee Ku, Jaemoon Yang
doaj +1 more source
Converging to Converge? A Comment
Kremer, Willis, and You (2021) revisit cross-country convergence patterns over the last six decades. They provide evidence that the lack of convergence that applied early in the sample has now been replaced by modest convergence. They also argue this relationship is driven by convergence in various determinants of economic growth across countries and a
Daron Acemoglu +3 more
openaire +2 more sources

