World's Best Scientists 2026 revealed!
Andreas Krause

Andreas Krause

Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
94
Citations
39210
World Ranking
480
National Ranking
14

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Andreas Krause is affiliated with ETH Zurich in Switzerland and has focused their research primarily in the field of Computer Science. Within this broad area, their work concentrates on several subfields including Artificial Intelligence, Management Science and Operations Research, Molecular Biology, Control and Systems Engineering, and Computational Theory and Mathematics.

Their main research topics cover a diverse range of areas such as:

  • Advanced Bandit Algorithms Research
  • Machine Learning and Algorithms
  • Gaussian Processes and Bayesian Inference
  • Reinforcement Learning in Robotics
  • Machine Learning and Data Classification
  • Advanced Control Systems Optimization
  • Adversarial Robustness in Machine Learning

Andreas Krause has a significant publication record, with recent papers published in reputable venues. Selected recent works include:

  • Machine intelligence for chemical reaction space, 2022, Wiley Interdisciplinary Reviews Computational Molecular Science
  • Older age, comorbidity, glucocorticoid use and disease activity are risk factors for COVID-19 hospitalisation in patients with inflammatory rheumatic and musculoskeletal diseases, 2021, RMD Open
  • Learning single-cell perturbation responses using neural optimal transport, 2023, Nature Methods
  • Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics, 2021, Machine Learning
  • Coresets via Bilevel Optimization for Continual Learning and Streaming, 2020, arXiv (Cornell University)

Krause is also frequently published in the following academic venues:

  • arXiv (Cornell University)
  • Repository for Publications and Research Data (ETH Zurich)
  • Zeitschrift für Rheumatologie
  • Zenodo (CERN European Organization for Nuclear Research)
  • RMD Open

Collaborative work is an important part of their research activity. Their frequent co-authors include Charlotte Bunne, Mojmír Mutný, Ilija Bogunovic, Bhavya Sukhija, and Jonas Rothfuss.

Best Publications

  • Cost-effective outbreak detection in networks

    Jure Leskovec;Andreas Krause;Carlos Guestrin;Christos Faloutsos

  • Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

    Niranjan Srinivas;Andreas Krause;Matthias Seeger;Sham M. Kakade

  • Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

    Andreas Krause;Ajit Singh;Carlos Guestrin

  • A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

    Eric Schulz;Maarten Speekenbrink;Andreas Krause

  • Inferring networks of diffusion and influence

    Manuel Gomez Rodriguez;Jure Leskovec;Andreas Krause

  • Inferring Networks of Diffusion and Influence

    Manuel Gomez-Rodriguez;Jure Leskovec;Andreas Krause

  • Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

    N. Srinivas;A. Krause;S. M. Kakade;M. Seeger

  • Submodular Function Maximization

    Andreas Krause;Daniel Golovin

  • Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

    Niranjan Srinivas;Andreas Krause;Sham M. Kakade;Matthias Seeger

  • Unfreezing the robot: Navigation in dense, interacting crowds

    Peter Trautman;Andreas Krause

  • The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms

    Avi Ostfeld;James G. Uber;Elad Salomons;Jonathan W. Berry

  • Adaptive submodularity: theory and applications in active learning and stochastic optimization

    Daniel Golovin;Andreas Krause

  • Near-optimal sensor placements in Gaussian processes

    Carlos Guestrin;Andreas Krause;Ajit Paul Singh

  • Near-optimal sensor placements: maximizing information while minimizing communication cost

    Andreas Krause;Carlos Guestrin;Anupam Gupta;Jon Kleinberg

  • Safe Model-based Reinforcement Learning with Stability Guarantees

    Felix Berkenkamp;Matteo Turchetta;Angela P. Schoellig;Andreas Krause

  • SenSay: a context-aware mobile phone

    D. Siewiorek;A. Smailagic;J. Furukawa;A. Krause

  • Near-optimal nonmyopic value of information in graphical models

    Andreas Krause;Carlos Guestrin

  • Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

    Andreas Krause;Jure Leskovec;Carlos Guestrin;Jeanne VanBriesen

  • Efficient informative sensing using multiple robots

    Amarjeet Singh;Andreas Krause;Carlos Guestrin;William J. Kaiser

  • Parallelizing exploration-exploitation tradeoffs in Gaussian process bandit optimization

    Thomas Desautels;Andreas Krause;Joel W. Burdick

  • Contextual Gaussian Process Bandit Optimization

    Andreas Krause;Cheng S. Ong

Frequent Co-Authors

Carlos Guestrin
Carlos Guestrin Stanford University
Mario Lucic
Mario Lucic Google (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Jure Leskovec
Jure Leskovec Stanford University
Anupam Gupta
Anupam Gupta Carnegie Mellon University
Volkan Cevher
Volkan Cevher École Polytechnique Fédérale de Lausanne
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems

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