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Jonathan Heek
Jonathan Heek
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Cited by
Cited by
Year
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
5272023
Metnet: A neural weather model for precipitation forecasting
CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ...
arXiv preprint arXiv:2003.12140, 2020
3482020
Efficiently scaling transformer inference
R Pope, S Douglas, A Chowdhery, J Devlin, J Bradbury, J Heek, K Xiao, ...
Proceedings of Machine Learning and Systems 5, 606-624, 2023
3422023
Deep learning for twelve hour precipitation forecasts
L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ...
Nature communications 13 (1), 1-10, 2022
2382022
simple diffusion: End-to-end diffusion for high resolution images
E Hoogeboom, J Heek, T Salimans
International Conference on Machine Learning, 13213-13232, 2023
2022023
Flax: A neural network library and ecosystem for JAX, 2020
J Heek, A Levskaya, A Oliver, M Ritter, B Rondepierre, A Steiner, ...
URL http://github. com/google/flax 1, 2020
2012020
Flax: A neural network library and ecosystem for JAX
J Heek, A Levskaya, A Oliver, M Ritter, B Rondepierre, A Steiner, ...
Version 0.3 3, 14-26, 2020
1272020
Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution
M Dehghani, B Mustafa, J Djolonga, J Heek, M Minderer, M Caron, ...
Advances in Neural Information Processing Systems 36, 2024
772024
Metnet: A neural weather model for precipitation forecasting. arXiv 2020
CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ...
arXiv preprint arXiv:2003.12140, 0
50
Bayesian inference for large scale image classification
J Heek, N Kalchbrenner
arXiv preprint arXiv:1908.03491, 2019
482019
Multistep consistency models
J Heek, E Hoogeboom, T Salimans
arXiv preprint arXiv:2403.06807, 2024
192024
Rolling Diffusion Models
D Ruhe, J Heek, T Salimans, E Hoogeboom
arXiv preprint arXiv:2402.09470, 2024
112024
Skillful twelve hour precipitation forecasts using large context neural networks. arXiv 2021
L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ...
arXiv preprint arXiv:2111.07470, 0
10
Multistep Distillation of Diffusion Models via Moment Matching
T Salimans, T Mensink, J Heek, E Hoogeboom
arXiv preprint arXiv:2406.04103, 2024
82024
Well-calibrated bayesian neural networks
J Heek
University of Cambridge, 2018
62018
Robustmix: Improving robustness by regularizing the frequency bias of deep nets
J Ngnawe, MA Njifon, J Heek, Y Dauphin
arXiv preprint arXiv:2304.02847, 2023
32023
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
E Hoogeboom, T Mensink, J Heek, K Lamerigts, R Gao, T Salimans
arXiv preprint arXiv:2410.19324, 2024
22024
Model Integrity when Unlearning with T2I Diffusion Models
A Schioppa, E Hoogeboom, J Heek
arXiv preprint arXiv:2411.02068, 2024
2024
Training ultra-large-scale vision transformer neural networks
M Dehghani, J Djolonga, J Heek, B Mustafa, PM Padlewski, JM Gilmer, ...
US Patent App. 18/424,420, 2024
2024
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