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:
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:
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:
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.
Carl Edward Rasmussen;Christopher K I Williams
Carl Edward Rasmussen
Carl Edward Rasmussen;Christopher K. I. Williams
Joaquin Quiñonero-Candela;Carl Edward Rasmussen
Christopher K. I. Williams;Carl Edward Rasmussen
Carl Edward Rasmussen
Marc Deisenroth;Carl E. Rasmussen
Carl Edward Rasmussen;Hannes Nickisch
Matthew J. Beal;Zoubin Ghahramani;Carl E. Rasmussen
Marc Peter Deisenroth;Dieter Fox;Carl Edward Rasmussen
Geoffrey Hinton;Carl Edward Rasmussen
Carl E. Rasmussen;Zoubin Ghahramani
Miguel Lázaro-Gredilla;Joaquin Quiñonero-Candela;Carl Edward Rasmussen;Aníbal R. Figueiras-Vidal
Hannes Nickisch;Carl Edward Rasmussen
Malte Kuss;Carl Edward Rasmussen
Edward Snelson;Zoubin Ghahramani;Carl E. Rasmussen
E. Solak;R. Murray-smith;W. E. Leithead;D. J. Leith
Agathe Girard;Carl Edward Rasmussen;Joaquin Quiñonero Candela;Roderick Murray-Smith
David K Duvenaud;Hannes Nickisch;Carl E. Rasmussen
J. Kocijan;R. Murray-Smith;C.E. Rasmussen;A. Girard
Malte Kuss;Carl E. Rasmussen
If you think any of the details on this page are incorrect, let us know.
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.
National Tsing Hua University
University of Florida
National Institutes of Health
University of California, Berkeley
Université Paris Cité
Ghent University
Harvard University
University of Saskatchewan
University of Western Ontario
St. Jude Children's Research Hospital
University of Angers
Kent State University
Kaiser Permanente
University of Sydney
University of Alberta
University of Wisconsin–Madison