User profiles for K. Muller

Klaus-Robert Müller

- Verified email at tu-berlin.de - Cited by 140402

Keith E. Muller

- Verified email at ufl.edu - Cited by 26805

Fluorine in pharmaceuticals: looking beyond intuition

K Muller, C Faeh, F Diederich - science, 2007 - science.org
… The C–CF 3 fragment has also been introduced as a substitute for the C=O group, providing
a substantial gain in potency of cathepsin K inhibitors (28). The C–Fand C–O dipoles can …

Optimizing spatial filters for robust EEG single-trial analysis

…, S Lemm, M Kawanabe, KR Muller - IEEE Signal …, 2007 - ieeexplore.ieee.org
… where δjk is the Kronecker delta (δjk = 1 for j = k and = 0 for j = k). The matrices A and W
are sometimes called the mixing and de-mixing matrix or the forward and backward model [41] …

[HTML][HTML] Methods for interpreting and understanding deep neural networks

G Montavon, W Samek, KR Müller - Digital signal processing, 2018 - Elsevier
… : Let j and k be indices for neurons of two successive layers. Let R k be the relevance of
neuron k for the prediction f ( x ) . We define R j ← k as the share of R k that is redistributed to …

Timing recovery in digital synchronous data receivers

K Mueller, M Muller - IEEE transactions on communications, 1976 - ieeexplore.ieee.org
… A class of algorithms related to type A has first been proposed by Mueller and Spaulding [19].
The … Our timing control schemes will be such that the (k + 1)th and the kth adjustment of the …

Flux trapping and superconductive glass state in :Ba

KA Müller, M Takashige, JG Bednorz - Physical review letters, 1987 - APS
… from 1.9 to 35 K in magnetic fields up to 1.T in powder samples … since been carried out by
Bednorz,Takashige, and Muller … The same value D is reached by field cooling from 35 K. In field …

Soft margins for AdaBoost

G Rätsch, T Onoda, KR Müller - Machine learning, 2001 - Springer
… For selecting the best RBF model we optimize the number of centers (parameter K, cf. figure
15) and the number of iteration steps for adapting the RBF centers and widths (parameter O)…

Input space versus feature space in kernel-based methods

…, CJC Burges, P Knirsch, KR Muller… - IEEE transactions on …, 1999 - ieeexplore.ieee.org
This paper collects some ideas targeted at advancing our understanding of the feature
spaces associated with support vector (SV) kernel functions. We first discuss the geometry of …

[HTML][HTML] Quantum-chemical insights from deep tensor neural networks

KT Schütt, F Arbabzadah, S Chmiela, KR Müller… - Nature …, 2017 - nature.com
… Following this train of thought, we trained the network on a restricted subset of 5 k … , carried
out at a rather high temperature of 500 K to achieve exhaustive exploration of the potential-…

Kernel PCA and de-noising in feature spaces

…, B Schölkopf, A Smola, KR Müller… - Advances in neural …, 1998 - proceedings.neurips.cc
… As k is smooth, we conclude that there exists a neighborhood of the extremum of (8) in
which the denominator of (9) is i= O. Thus we can devise an iteration scheme for z by …