World's Best Scientists 2026 revealed!
Carl Edward Rasmussen

Carl Edward Rasmussen

D-Index & Metrics

Computer Science

D-Index
56
Citations
75803
World Ranking
3925
National Ranking
238

Overview

Carl Edward Rasmussen is affiliated with the University of Cambridge in the United Kingdom. Their research primarily focuses on computer science with a specialization in artificial intelligence. The main areas of study within this field include control and systems engineering, computational theory and mathematics, global and planetary change, as well as statistics and probability.

Their work emphasizes several core topics:

  • Gaussian Processes and Bayesian Inference
  • Control Systems and Identification
  • Atmospheric and Environmental Gas Dynamics
  • Machine Learning and Data Classification
  • Statistical Methods and Inference
  • Computational Drug Discovery Methods
  • Advanced Multi-Objective Optimization Algorithms

Carl Edward Rasmussen has contributed multiple research papers, with publications mostly appearing in the arXiv repository affiliated with Cornell University as well as specialized journals such as the Journal of Engineering for Gas Turbines and Power. Some recent papers include:

  • Convergence of Sparse Variational Inference in Gaussian Processes Regression, 2020, arXiv (Cornell University)
  • Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise, 2021, Journal of Engineering for Gas Turbines and Power
  • The Promises and Pitfalls of Deep Kernel Learning, 2021, arXiv (Cornell University)
  • Variational Orthogonal Features, 2020, arXiv (Cornell University)

Frequent collaborators in their research include David R. Burt, Mark van der Wilk, Miguel García-Ortegón, Srijit Seal, and Andreas Bender. This network indicates a collaborative approach across various subfields within machine learning and control systems.

The venues where Rasmussen frequently publishes comprise:

  • arXiv (Cornell University)
  • Journal of Engineering for Gas Turbines and Power
  • Journal of Cheminformatics
  • Chemical Science
  • NERC Open Research Archive (Natural Environment Research Council)

This profile reflects an academic career centered on advancing methods in Gaussian processes and Bayesian inference, with intersections in control engineering and environmental applications. The focus on statistical and computational methodologies aligns with ongoing developments in machine learning and optimization algorithms within a scientific framework.

Best Publications

  • Gaussian Processes for Machine Learning

    Carl Edward Rasmussen;Christopher K I Williams

  • Gaussian processes in machine learning

    Carl Edward Rasmussen

  • Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

    Carl Edward Rasmussen;Christopher K. I. Williams

  • A Unifying View of Sparse Approximate Gaussian Process Regression

    Joaquin Quiñonero-Candela;Carl Edward Rasmussen

  • Gaussian Processes for Regression

    Christopher K. I. Williams;Carl Edward Rasmussen

  • The Infinite Gaussian Mixture Model

    Carl Edward Rasmussen

  • PILCO: A Model-Based and Data-Efficient Approach to Policy Search

    Marc Deisenroth;Carl E. Rasmussen

  • Gaussian Processes for Machine Learning (GPML) Toolbox

    Carl Edward Rasmussen;Hannes Nickisch

  • The Infinite Hidden Markov Model

    Matthew J. Beal;Zoubin Ghahramani;Carl E. Rasmussen

  • Gaussian Processes for Data-Efficient Learning in Robotics and Control

    Marc Peter Deisenroth;Dieter Fox;Carl Edward Rasmussen

  • Evaluation of gaussian processes and other methods for non-linear regression

    Geoffrey Hinton;Carl Edward Rasmussen

  • Infinite Mixtures of Gaussian Process Experts

    Carl E. Rasmussen;Zoubin Ghahramani

  • Sparse Spectrum Gaussian Process Regression

    Miguel Lázaro-Gredilla;Joaquin Quiñonero-Candela;Carl Edward Rasmussen;Aníbal R. Figueiras-Vidal

  • Approximations for Binary Gaussian Process Classification

    Hannes Nickisch;Carl Edward Rasmussen

  • Assessing Approximate Inference for Binary Gaussian Process Classification

    Malte Kuss;Carl Edward Rasmussen

  • Warped Gaussian Processes

    Edward Snelson;Zoubin Ghahramani;Carl E. Rasmussen

  • Derivative Observations in Gaussian Process Models of Dynamic Systems

    E. Solak;R. Murray-smith;W. E. Leithead;D. J. Leith

  • Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting

    Agathe Girard;Carl Edward Rasmussen;Joaquin Quiñonero Candela;Roderick Murray-Smith

  • Additive Gaussian Processes

    David K Duvenaud;Hannes Nickisch;Carl E. Rasmussen

  • Gaussian process model based predictive control

    J. Kocijan;R. Murray-Smith;C.E. Rasmussen;A. Girard

  • Gaussian Processes in Reinforcement Learning

    Malte Kuss;Carl E. Rasmussen

Frequent Co-Authors

Marc Peter Deisenroth
Marc Peter Deisenroth University College London
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Roderick Murray-Smith
Roderick Murray-Smith University of Glasgow
Jan Peters
Jan Peters Technical University of Darmstadt
Lars Kai Hansen
Lars Kai Hansen Technical University of Denmark
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Thomas B. Schön
Thomas B. Schön Uppsala University
Jan Larsen
Jan Larsen Technical University of Denmark
Jan Maciejowski
Jan Maciejowski University of Cambridge
Andreas S. Tolias
Andreas S. Tolias Baylor College of Medicine

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees and certifications is a smart way to boost your Computer Science career. Many students today choose flexible, affordable programs that let them study from anywhere. For those interested in data-driven fields, discovering what is the cheapest data science course in the US? can help lower education costs without sacrificing quality.

If you’re considering a related discipline, checking out the online electrical engineering degree ranking is useful for finding top-rated programs to expand your skill set.

For a faster entry into tech jobs, look into easy certifications to get online. These credentials can often be completed quickly and provide a competitive salary boost.

Finally, if you already have a bachelor’s degree, consider one of the quickest online masters degree options to advance your career even further. Online learning opens many pathways—choose the route that fits your goals and timeline best.

Best Scientists Citing Carl Edward Rasmussen

Trending Scientists