Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Gradient

Known as: Grad, Gradient Operator, Gradient of a scalar 
In mathematics, the gradient is a generalization of the usual concept of derivative to functions of several variables. If f(x1, ..., xn) is a… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
This paper is a broad and accessible survey of the methods we have at our disposal for Monte Carlo gradient estimation in machine… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Review
2019
Review
2019
In this paper, the main issues of model-based control methods are first reviewed, followed by the motivations and the state of… Expand
  • table I
  • figure 2
  • figure 4
  • table III
  • figure 5
Review
2019
Review
2019
Recently, a spate of papers have provided positive theoretical results for training over-parameterized neural networks (where the… Expand
Review
2019
Review
2019
Abstract When applied in some harsh environments (e.g. in poisonous atmosphere or underwater), odor source localization robots… Expand
Review
2018
Review
2018
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It… Expand
  • figure 1
  • figure 2
  • figure 3
Review
2018
Review
2018
Abstract Recent studies on heat transfer to super-critical water (SCW) in tubes, annuli and rod bundles have been reviewed in… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Review
2018
Review
2018
Classic research on elevational gradients in plant–herbivore interactions holds that insect herbivore pressure is stronger under… Expand
  • figure 1
Review
2017
Review
2017
Abstract. The critical zone (CZ), the dynamic living skin of the Earth, extends from the top of the vegetative canopy through the… Expand
Highly Cited
2014
Highly Cited
2014
In this paper we consider deterministic policy gradient algorithms for reinforcement learning with continuous actions. The… Expand
  • figure 1
  • figure 2
  • figure 3
Highly Cited
1999
Highly Cited
1999
Collisionless electron-temperature-gradient-driven (ETG) turbulence in toroidal geometry is studied via nonlinear numerical… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5