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Hyperkähler manifold

Publications associées (114)

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Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Nicolas Henri Bernard Flammarion

We consider minimizing a nonconvex, smooth function

f

on a Riemannian manifold

\mathcal{M}

. We show that a perturbed version of Riemannian gradient descent algorithm converges to a second-order stationary point (and hence is able to escape saddle point ...

2019

Hyperkähler manifold

Graph Chatbot

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A b-symplectic slice theorem

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators*

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Escaping from saddle points on Riemannian manifolds

Renormalization of quantum field theory on Riemannian manifolds

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

A central limit theorem for integrals of random waves

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

A b-symplectic slice theorem

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators*

Renormalization of quantum field theory on Riemannian manifolds

Escaping from saddle points on Riemannian manifolds

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

A central limit theorem for integrals of random waves