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ORCIDLuke Nicholas Darlow
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2020 – today
- 2024
[c9]Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey:
DAM: Towards a Foundation Model for Forecasting. ICLR 2024- [c8]William Toner, Luke Nicholas Darlow:
An Analysis of Linear Time Series Forecasting Models. ICML 2024 - [i9]William Toner, Luke Nicholas Darlow:
An Analysis of Linear Time Series Forecasting Models. CoRR abs/2403.14587 (2024) - [i8]Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey:
DAM: Towards A Foundation Model for Time Series Forecasting. CoRR abs/2407.17880 (2024) - [i7]Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker:
Serverless Cold Starts and Where to Find Them. CoRR abs/2410.06145 (2024) - 2023
- [c7]Artjom Joosen
, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker:
How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. SoCC 2023: 443-458 - [c6]Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker:
FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting. EuroMLSys@EuroSys 2023: 71-77 - [c5]Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker:
TSMix: time series data augmentation by mixing sources. EuroMLSys@EuroSys 2023: 109-114 - [i6]Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker:
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads. CoRR abs/2312.10127 (2023) - 2020
- [c4]Courtney R. Pitcher, Patrick C. Marais, Luke Nicholas Darlow:
Matching Fingerprints with a Toroidal Iterative Closest Point Algorithm. SAICSIT 2020: 51-57 - [i5]Luke Nicholas Darlow, Amos J. Storkey:
What Information Does a ResNet Compress? CoRR abs/2003.06254 (2020) - [i4]Luke Nicholas Darlow, Amos J. Storkey:
DHOG: Deep Hierarchical Object Grouping. CoRR abs/2003.08821 (2020) - [i3]Luke Nicholas Darlow, Stanislaw Jastrzebski, Amos J. Storkey:
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks. CoRR abs/2011.11486 (2020)
2010 – 2019
- 2019
- [p1]Yaseen Moolla, Luke Nicholas Darlow, Ameeth Sharma, Ann Singh, Johan Van Der Merwe:
Optical Coherence Tomography for Fingerprint Presentation Attack Detection. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 49-70 - 2018
- [i2]Luke Nicholas Darlow, Amos J. Storkey:
GINN: Geometric Illustration of Neural Networks. CoRR abs/1810.01860 (2018) - [i1]Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey:
CINIC-10 is not ImageNet or CIFAR-10. CoRR abs/1810.03505 (2018) - 2017
- [c3]Luke Nicholas Darlow, Benjamin Rosman:
Fingerprint minutiae extraction using deep learning. IJCB 2017: 22-30 - 2016
- [c2]Luke Nicholas Darlow, James Connan, Ann Singh:
Performance analysis of a Hybrid fingerprint extracted from optical coherence tomography fingertip scans. ICB 2016: 1-8 - 2015
- [j2]Luke Nicholas Darlow, James Connan, Sharat Saurabh Akhoury:
Internal fingerprint zone detection in optical coherence tomography fingertip scans. J. Electronic Imaging 24(2): 023027 (2015) - [j1]Luke Nicholas Darlow, James Connan:
Study on internal to surface fingerprint correlation using optical coherence tomography and internal fingerprint extraction. J. Electronic Imaging 24(6): 063014 (2015) - 2014
- [c1]Luke Nicholas Darlow, Sharat Saurabh Akhoury, James Connan:
A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans. ICMV 2014: 944523
Coauthor Index
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