Atilim Güneş Baydin
POSITION
Departmental Lecturer and Senior Researcher in Machine Learning
WEBSITES
Departmental (Engineering Science)
Departmental (Computer Science)
INTRODUCTION
Güneş Baydin's research is at the intersection of generative modeling, probabilistic programming, and deep learning, with an interest in applications of machine learning for scientific discovery. He is currently focusing on enabling efficient probabilistic inference in large-scale simulators, implementing code for distributed training and inference at supercomputing scale in collaboration with Lawrence Berkeley Lab. He is also involved in NASA and ESA Frontier Development Lab programs as faculty and member of the AI Technical Committee. Güneş works with Philip Torr as a member of Torr Vision Group. He is also a Research Member of the Common Room at Kellogg College, a research consultant for Microsoft Research Cambridge, and a member of European Lab for Learning and Intelligent Systems (ELLIS).
AREAS OF INTEREST
Machine Learning; Deep Learning; Probabilistic Programming; Simulators
RESEARCH GROUPS
Torr Vision Group; ESA Frontier Development Lab
PUBLICATIONS