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John Bronskill
John Bronskill
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
1742018
Infer .NET 0.3, 2018. Microsoft Research Cambridge
T Minka, J Winn, J Guiver, Y Zaykov, D Fabian, J Bronskill
146*
Fast and flexible multi-task classification using conditional neural adaptive processes
J Requeima, J Gordon, J Bronskill, S Nowozin, RE Turner
Advances in Neural Information Processing Systems 32, 2019
1122019
Mixed but indistinguishable raster and vector image data types
AR Smith, J Bradstreet, JE Fay, A Sehgal, TA Joshi, JF Bronskill, ...
US Patent 7,148,907, 2006
612006
System and method for drawing and painting with bitmap brushes
J Bronskill
US Patent 6,201,549, 2001
572001
Tasknorm: Rethinking batch normalization for meta-learning
J Bronskill, J Gordon, J Requeima, S Nowozin, R Turner
International Conference on Machine Learning, 1153-1164, 2020
532020
Apparatus and method for transforming a digitized signal of an image
I Jaffray, JF Bronskill
US Patent 5,063,448, 1991
391991
Multidimensional shape description and recognition using mathematical morphology
JF Bronskill, AN Venetsanopoulos
Journal of Intelligent and Robotic systems 1 (2), 117-143, 1988
391988
Apparatus and method for transforming a digitized signal of an image to incorporate an airbrush effect
I Jaffray, JF Bronskill
US Patent 5,245,432, 1993
381993
Rich data-bound application
J Gossman, K Cooper, T Peters, J Bronskill, DR Motter, A Gasperini, ...
US Patent App. 11/080,531, 2006
282006
Personalized predictive models
J Edelen, J Li, JF Bronskill, JP Guiver, K Dastgir, S Rajmohan, ...
US Patent 10,504,029, 2019
272019
System and method for drawing and painting with warped bitmap brushes
J Bronskill, M Gangnet
US Patent 7,158,138, 2007
182007
A knowledge-based approach to the detection, tracking and classification of target formations in infrared image sequences
JF Bronskill, JSA Hepburn, WK Au
1989 IEEE Computer Society Conference on Computer Vision and Pattern …, 1989
151989
Orbit: A real-world few-shot dataset for teachable object recognition
D Massiceti, L Zintgraf, J Bronskill, L Theodorou, MT Harris, E Cutrell, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
The pecstrum
JF Bronskill, AN Venetsanopoulos
Proceedings of the 3rd ASSP Workshop on Spectral Estimation and Modeling; Boston, 1986
81986
Fs-mol: A few-shot learning dataset of molecules
M Stanley, JF Bronskill, K Maziarz, H Misztela, J Lanini, M Segler, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
72021
Apparatus and method for transforming a digitized signal of an image into a reflective surface
I Jaffray, JF Bronskill
US Patent 5,325,200, 1994
61994
Detection and classification of target formations in infrared image sequences
JF Bronskill, JSA Hepburn, WK Au
Imaging infrared: Scene simulation, modeling, and real image tracking 1110 …, 1989
61989
Versa: Versatile and efficient few-shot learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Third workshop on Bayesian Deep Learning, 2018
52018
Algorithm evaluation for an infrared target-detection test bed
E Lithopoulos, ER Bender, JF Bronskill, JSA Hepburn
Signal and Image Processing Systems Performance Evaluation 1310, 58-65, 1990
51990
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