Luke Nicholas Darlow

22 papers A* 2A 1B 1C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Serverless Cold Starts and Where to Find Them.
EuroSys
Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker
2024 A* conf
An Analysis of Linear Time Series Forecasting Models.
ICML
William Toner, Luke Nicholas Darlow
2024 J jnl
An Analysis of Linear Time Series Forecasting Models.
CoRR
William Toner, Luke Nicholas Darlow
2024 J jnl
DAM: Towards A Foundation Model for Time Series Forecasting.
CoRR
Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey
2024 A* conf
DAM: Towards a Foundation Model for Forecasting.
ICLR
Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey
2024 J jnl
Serverless Cold Starts and Where to Find Them.
CoRR
Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker
2023 — conf
FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting.
EuroMLSys@EuroSys
Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker
2023 J jnl
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads.
CoRR
Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker
2023 — conf
How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads.
SoCC
Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker
2023 — conf
TSMix: time series data augmentation by mixing sources.
EuroMLSys@EuroSys
Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker
2020 J jnl
DHOG: Deep Hierarchical Object Grouping.
CoRR
Luke Nicholas Darlow, Amos J. Storkey
2020 J jnl
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks.
CoRR
Luke Nicholas Darlow, Stanislaw Jastrzebski, Amos J. Storkey
2020 — conf
Matching Fingerprints with a Toroidal Iterative Closest Point Algorithm.
SAICSIT
Courtney R. Pitcher, Patrick C. Marais, Luke Nicholas Darlow
2020 J jnl
What Information Does a ResNet Compress?
CoRR
Luke Nicholas Darlow, Amos J. Storkey
2019 — ch.
Optical Coherence Tomography for Fingerprint Presentation Attack Detection.
Handbook of Biometric Anti-Spoofing, 2nd Ed.
Yaseen Moolla, Luke Nicholas Darlow, Ameeth Sharma, Ann Singh, Johan van der Merwe
2018 J jnl
CINIC-10 is not ImageNet or CIFAR-10.
CoRR
Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey
2018 J jnl
GINN: Geometric Illustration of Neural Networks.
CoRR
Luke Nicholas Darlow, Amos J. Storkey
2017 B conf
Fingerprint minutiae extraction using deep learning.
IJCB
Luke Nicholas Darlow, Benjamin Rosman
2016 — conf
Performance analysis of a Hybrid fingerprint extracted from optical coherence tomography fingertip scans.
ICB
Luke Nicholas Darlow, James Connan, Ann Singh
2015 J jnl
Internal fingerprint zone detection in optical coherence tomography fingertip scans.
J. Electronic Imaging
Luke Nicholas Darlow, James Connan, Sharat Saurabh Akhoury
2015 J jnl
Study on internal to surface fingerprint correlation using optical coherence tomography and internal fingerprint extraction.
J. Electronic Imaging
Luke Nicholas Darlow, James Connan
2014 C conf
A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans.
ICMV
Luke Nicholas Darlow, Sharat Saurabh Akhoury, James Connan