| How does it function? characterizing long-term trends in production serverless workloads A Joosen, A Hassan, M Asenov, R Singh, L Darlow, J Wang, A Barker Proceedings of the 2023 ACM Symposium on Cloud Computing, 443-458, 2023 | 15 | 2023 |
| Privacy-preserving object detection P He, C Griffin, K Kacprzyk, A Joosen, M Collyer, A Shtedritski, YM Asano arXiv preprint arXiv:2103.06587, 2021 | 4 | 2021 |
| DAM: A Foundation Model for Forecasting LN Darlow, Q Deng, A Hassan, M Asenov, R Singh, A Joosen, A Barker, ... The Twelfth International Conference on Learning Representations. https …, 2024 | 2 | 2024 |
| FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting LN Darlow, A Joosen, M Asenov, Q Deng, J Wang, A Barker Proceedings of the 3rd Workshop on Machine Learning and Systems, 71-77, 2023 | 2 | 2023 |
| TSMix: time series data augmentation by mixing sources LN Darlow, A Joosen, M Asenov, Q Deng, J Wang, A Barker Proceedings of the 3rd Workshop on Machine Learning and Systems, 109-114, 2023 | 2 | 2023 |
| DAM: Towards A Foundation Model for Time Series Forecasting L Darlow, Q Deng, A Hassan, M Asenov, R Singh, A Joosen, A Barker, ... arXiv preprint arXiv:2407.17880, 2024 | | 2024 |
| DAM: Towards a Foundation Model for Forecasting LN Darlow, Q Deng, A Hassan, M Asenov, R Singh, A Joosen, A Barker, ... The Twelfth International Conference on Learning Representations, 0 | | |
