Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vidhi Lalchand"'
Autor:
Vidhi Lalchand, Joseph Duris, Adi Hanuka, Zhen Zhang, Xiaobiao Huang, J. Shtalenkova, Daniel Ratner, Auralee Edelen, D. Kennedy
Publikováno v:
Physical Review Accelerators and Beams, Vol 24, Iss 7, p 072802 (2021)
High-dimensional optimization is a critical challenge for operating large-scale scientific facilities. We apply a physics-informed Gaussian process (GP) optimizer to tune a complex system. Typical GP models learn from past observations to make predic
Autor:
Alexander A. Aldrick, Vidhi Lalchand, Miguel Garcia-Ortegon, Alpha A. Lee, Ryan-Rhys Griffiths
Publikováno v:
Machine Learning: Science and Technology. 3:015004
Bayesian optimisation is a sample-efficient search methodology that holds great promise for accelerating drug and materials discovery programs. A frequently-overlooked modelling consideration in Bayesian optimisation strategies however, is the repres
Publikováno v:
Communications of the ACM. 56:76-85
The competitive nature of AT, the scarcity of expertise, and the vast profits potential, makes for a secretive community where implementation details are difficult to find.
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling.
Publikováno v:
Oberwolfach Reports; 2023, Vol. 20 Issue 2, p1453-1484, 32p
Autor:
Eilers, Annaâ€"Christina, Hogg, David W., Schölkopf, Bernhard, Foreman-Mackey, Daniel, Davies, Frederick B., Schindler, Janâ€"Torge
Publikováno v:
Astrophysical Journal; 10/15/2022, Vol. 938 Issue 1, p1-13, 13p
Autor:
TRELEAVEN, PHILIP1,2 (AUTHOR) p.treleaven@ucl.ac.uk, GALAS, MICHAL3 (AUTHOR), LALCHAND, VIDHI4 (AUTHOR)
Publikováno v:
Communications of the ACM. Nov2013, Vol. 56 Issue 11, p76-85. 10p. 1 Color Photograph, 5 Diagrams, 6 Charts.