Sciweavers

JMLR
2012
12 years 1 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
TOG
2010
129views more  TOG 2010»
13 years 5 months ago
Optical computing for fast light transport analysis
We present a general framework for analyzing the transport matrix of a real-world scene at full resolution, without capturing many photos. The key idea is to use projectors and ca...
Matthew O'Toole, Kiriakos N. Kutulakos
CPHYSICS
2011
232views Education» more  CPHYSICS 2011»
13 years 5 months ago
A nested Krylov subspace method to compute the sign function of large complex matrices
We present an acceleration of the well-established Krylov-Ritz methods to compute the sign function of large complex matrices, as needed in lattice QCD simulations involving the o...
Jacques Bloch, Simon Heybrock
NA
2010
86views more  NA 2010»
13 years 9 months ago
Adaptive version of Simpler GMRES
Abstract. In this paper we propose a stable variant of Simpler GMRES by Walker and Zhou [15]. It is based on the adaptive choice of the Krylov subspace basis at given iteration ste...
Pavel Jiránek, Miroslav Rozlozník
MCS
2008
Springer
13 years 10 months ago
Approximation of matrix operators applied to multiple vectors
In this paper we propose a numerical method for approximating the product of a matrix function with multiple vectors by Krylov subspace methods combined with a QR decomposition of...
Marlis Hochbruck, Jörg Niehoff