User profiles for A. KRAUSE

Andreas Krause

Professor of Computer Science, ETH Zurich
Verified email at inf.ethz.ch
Cited by 43630

Chlorophyll fluorescence and photosynthesis: the basics

GH Krause, E Weis - Annual review of plant biology, 1991 - annualreviews.org
Chlorophyll a fluorescence emitted by green plants reflects photosynthetic activities in a
complex manner. Recent improvements of fluorescence measuring techniques have made the …

The sleep-deprived human brain

AJ Krause, EB Simon, BA Mander, SM Greer… - Nature Reviews …, 2017 - nature.com
How does a lack of sleep affect our brains? In contrast to the benefits of sleep, frameworks
exploring the impact of sleep loss are relatively lacking. Importantly, the effects of sleep …

Physics with e+ e− linear colliders

…, BA Kniehl, M Krämer, G Kramer, S Kraml, A Krause… - Physics Reports, 1998 - Elsevier
The physics potential of e + e − linear colliders is summarized in this report. These machines
are planned to operate in the first phase at a center-of-mass energy of 500GeV, before …

Cost-effective outbreak detection in networks

J Leskovec, A Krause, C Guestrin, C Faloutsos… - Proceedings of the 13th …, 2007 - dl.acm.org
Given a water distribution network, where should we place sensors toquickly detect contaminants?
Or, which blogs should we read to avoid missing important stories?. These seemingly …

[PDF][PDF] Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies.

A Krause, A Singh, C Guestrin - Journal of Machine Learning Research, 2008 - jmlr.org
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs),
choosing sensor locations is a fundamental task. There are several common …

Gaussian process optimization in the bandit setting: No regret and experimental design

N Srinivas, A Krause, SM Kakade, M Seeger - arXiv preprint arXiv …, 2009 - arxiv.org
Many applications require optimizing an unknown, noisy function that is expensive to
evaluate. We formalize this task as a multi-armed bandit problem, where the payoff function is …

Inferring networks of diffusion and influence

…, J Leskovec, A Krause - ACM Transactions on …, 2012 - dl.acm.org
Information diffusion and virus propagation are fundamental processes taking place in networks.
While it is often possible to directly observe when nodes become infected with a virus or …

Functional characteristics of an endophyte community colonizing rice roots as revealed by metagenomic analysis

…, J Döring, A Weilharter, A Krause… - Molecular Plant …, 2012 - Am Phytopath Society
Roots are the primary site of interaction between plants and microorganisms. To meet food
demands in changing climates, improved yields and stress resistance are increasingly …

Safe model-based reinforcement learning with stability guarantees

…, M Turchetta, A Schoellig, A Krause - Advances in neural …, 2017 - proceedings.neurips.cc
Reinforcement learning is a powerful paradigm for learning optimal policies from experimental
data. However, to find optimal policies, most reinforcement learning algorithms explore all …

[PDF][PDF] Submodular function maximization.

A Krause, D Golovin - Tractability, 2014 - cs.cmu.edu
… This application requires solving a difficult real-world optimization problem, that can be
handled with the techniques discussed in this chapter (Krause et al. 2008b show in detail how …