Active Learning of Intuitive Control Knobs for Synthesizers Using Gaussian Processes Cheng-Zhi Anna Huang Harvard University

Source URL: iis.seas.harvard.edu

[8] Donsker, M. D., Varadhan, S. R. S.: Large deviations for stationary Gaussian processes. Commun. Math. Phys), 187–Donsker, M. D., Varadhan, S. R. S.: Large deviations for noninteracting infinite-

Source URL: svanda.astronomie.cz

Section 6 Exercises, Problems, and Solutions Review Exercises: 1. Contrast Slater type orbitals (STOs) with Gaussian type orbitals (GTOs). Exercises: 1. By expanding the molecular orbitals {φk} as linear combinations of

Source URL: simons.hec.utah.edu

Introduction to Number Theory Supplement on Gaussian Integers Spring 2016 Last Updated: April 10, 2016 This is a brief supplemental note on the Gaussian integers, written for my

Source URL: davidlowryduda.com

• Mathematics
• Algebra
• Abstract algebra
• Ring theory
• Algebraic number theory
• Commutative algebra
• Integer factorization algorithms
• Greatest common divisor
• Euclidean algorithm
• Unique factorization domain
• Factorization
• Gaussian integer

Analyzing nonstationary spatial data using piecewise Gaussian processes Hyoung-Moon Kim, Bani K. Mallick and C. C. Holmes1 1

Source URL: www.stats.ox.ac.uk

Numerical Methods 2 Dr Dana MackeyMarchProblem Sheet 7: Gaussian integration

Source URL: www.maths.dit.ie

C:/Users/Jur van den Berg/Documents/papers/RSS10 - NeedleSteering/jur-planningcontrol.dvi

Source URL: goldberg.berkeley.edu

• Control theory
• Robot control
• Stochastic control
• Robot kinematics
• Optimal control
• Motion planning
• Kalman filter
• Linear-quadratic-Gaussian control
• Robotics
• Robot
• Normal distribution

Research Paper 173 Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential

Source URL: www.csb.pitt.edu

• Chemistry
• Molecular modelling
• Biology
• Molecular dynamics
• Protein dynamics
• STING
• Protein structure
• Protein
• Amino acid
• Actin
• Polymer
• Gaussian network model

Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of

Source URL: goldberg.berkeley.edu

• Mathematical optimization
• Systems theory
• Engineering
• Systems science
• Control theory
• Robot control
• Operations research
• Optimal control
• Trajectory optimization
• Kalman filter
• Model predictive control
• Quadratic programming

Optimization for Gaussian Processes via Chaining Emile Contal C´edric Malherbe Nicolas Vayatis CMLA, ENS Cachan, CNRS, Universit´e Paris-Saclay, 94235, Cachan, France

Source URL: bayesopt.github.io