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ORCIDTim N. Palmer
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- affiliation: University of Oxford, UK
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2020 – today
- 2022
[i4]Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Düben, Tim N. Palmer:
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts. CoRR abs/2204.02028 (2022)- 2021
- [j8]Milan Klöwer
, Miha Razinger, Juan J. Dominguez, Peter D. Düben, Tim N. Palmer:
Compressing atmospheric data into its real information content. Nat. Comput. Sci. 1(11): 713-724 (2021) - [i3]Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz:
Mixed-precision for Linear Solvers in Global Geophysical Flows. CoRR abs/2103.16120 (2021) - 2020
- [j7]Tim N. Palmer:
Human Creativity and Consciousness: Unintended Consequences of the Brain's Extraordinary Energy Efficiency? Entropy 22(3): 281 (2020) - [i2]Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz:
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows. CoRR abs/2010.02866 (2020)
2010 – 2019
- 2019
- [c5]Sam Hatfield, Matthew Chantry, Peter D. Düben, Tim N. Palmer:
Accelerating High-Resolution Weather Models with Deep-Learning Hardware. PASC 2019: 1:1-1:11 - 2018
- [j6]Tim N. Palmer:
Experimental Non-Violation of the Bell Inequality. Entropy 20(5): 356 (2018) - 2017
- [j5]Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer:
Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures. Comput. Phys. Commun. 221: 160-173 (2017) - 2015
- [j4]Tim N. Palmer, Michael O'Shea:
Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing. Frontiers Comput. Neurosci. 9: 124 (2015) - [j3]Tim N. Palmer:
Modelling: Build imprecise supercomputers. Nat. 526(7571): 32-33 (2015) - [c4]Peter D. Düben, Jeremy Schlachter, Parishkrati, Sreelatha Yenugula, John Augustine, Christian C. Enz, Krishna V. Palem, Tim N. Palmer:
Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications. DATE 2015: 764-769 - [c3]Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer:
Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour. FCCM 2015: 171-178 - [c2]Tim N. Palmer:
Invariant Set Theory: Violating Measurement Independence without Fine Tuning, Conspiracy, Constraints on Free Will or Retrocausality. QPL 2015: 285-294 - 2014
- [j2]Peter D. Düben, Hugh McNamara, Tim N. Palmer:
The use of imprecise processing to improve accuracy in weather & climate prediction. J. Comput. Phys. 271: 2-18 (2014) - [i1]Tim N. Palmer, Michael O'Shea:
Neuronal noise as a physical resource for human cognition. CoRR abs/1412.4920 (2014)
2000 – 2009
- 2009
- [c1]Tim N. Palmer:
The Invariant Set Hypothesis: A New Geometric Framework for the Foundations of Quantum Theory and the Role Played by Gravity. QPL@MFPS 2009: 115-119 - 2008
- [j1]Martin Leutbecher, Tim N. Palmer:
Ensemble forecasting. J. Comput. Phys. 227(7): 3515-3539 (2008)
Coauthor Index
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