Artjom Joosen

According to our database, Artjom Joosen authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Lightweight Online Adaption for Time Series Foundation Model Forecasts.

Thomas L. Lee, William Toner, Rajkarn Singh, Artjom Joosen, Martin Asenov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Performance of Zero-Shot Time Series Foundation Models on Cloud Data.

William Toner, Thomas L. Lee, Artjom Joosen, Rajkarn Singh, Martin Asenov

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, 2025

Serverless Cold Starts and Where to Find Them.

Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

DAM: Towards A Foundation Model for Time Series Forecasting.

Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey

CoRR, 2024

DAM: Towards a Foundation Model for Forecasting.

Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TSMix: time series data augmentation by mixing sources.

Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting.

Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads.

Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2021

Privacy-preserving Object Detection.

Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021