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Dynamics of particles with anisotropic mass depending on time and position

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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

Dynamics of particles with anisotropic mass depending on time and position

Graph Chatbot

Chattez avec Graph Search

Nonlinear Finite Elements in Dynamics

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

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Escaping from saddle points on Riemannian manifolds

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

A General Theory of Equivariant CNNs on Homogeneous Spaces

Boundedness and Decay of Solutions for Some Fractional Magnetic Schrodinger Equations in R-N

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Geometric deep learning: going beyond Euclidean data

A General Theory of Equivariant CNNs on Homogeneous Spaces

Nonlinear Finite Elements in Dynamics

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

Boundedness and Decay of Solutions for Some Fractional Magnetic Schrodinger Equations in R-N

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Geometric deep learning: going beyond Euclidean data

Escaping from saddle points on Riemannian manifolds

How ageing shapes body and space representations: A comparison study between healthy young and older adults

Geodesic flows on real forms of complex semi-simple Lie groups of rigid body type