A recursive distribution equation for the stable tree
Chee, N
Rembart, F
Winkel, M
(20 Dec 2018)
High-performance SVD partial spectrum computation
Keyes, D
Ltaief, H
Nakatsukasa, Y
Sukkari, D
SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
(11 Nov 2023)
Continual Learning via Sequential Function-Space Variational Inference
Rudner, T
Smith, F
Feng, Q
Teh, Y
Gal, Y
Proceedings of Machine Learning Research
volume 162
18871-18887
(01 Jan 2022)
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Rudner, T
Chen, Z
Teh, Y
Gal, Y
Advances in Neural Information Processing Systems
volume 35
(01 Jan 2022)
Predictions for high energy neutrino cross-sections from the ZEUS global PDF fits
Cooper-Sarkar, A
Sarkar, S
(28 Oct 2007)
The high energy neutrino cross-section in the Standard Model and its uncertainty
Cooper-Sarkar, A
Mertsch, P
Sarkar, S
(19 Jun 2011)
Quantifying uncertainties in the high energy neutrino cross-section
Cooper-Sarkar, A
Mertsch, P
Sarkar, S
(08 Aug 2011)
Probing low-x QCD with cosmic neutrinos at the Pierre Auger Observatory
Anchordoqui, L
Cooper-Sarkar, A
Hooper, D
Sarkar, S
(09 May 2006)
Imagination is the creative force for artists. But what about mathematicians and scientists? What part does imagination play in their work? What do the artist and the scientist have in common? And how do each envision things that will never be seen?
In this panel discussion two scientists and one artist, all leaders in their field, will provide an answer. They have more in common than you would think.