Vid2Param: Online system identification from video for robotics applications. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2019)

Active Localization of Gas Leaks Using Fluid Simulation. - Martin Asenov; Marius Rutkauskas; Derryck Telford Reid; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2019)

Vid2Param: Modeling of Dynamics Parameters From Video. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. - Miguel Jaques; Martin Asenov; Michael Burke; Timothy M. Hospedales (L4DC, 2022)

Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics. - Carlo Tiseo; Quentin Rouxel; Martin Asenov; Keyhan Kouhkiloui Babarahmati; Subramanian Ramamoorthy; Zhibin Li 001; Michael N. Mistry (CoRR, 2022)

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 (SoCC, 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 (EuroMLSys@EuroSys, 2023)

TSMix: time series data augmentation by mixing sources. - Luke Nicholas Darlow; Artjom Joosen; Martin Asenov; Qiwen Deng; Jianfeng Wang; Adam Barker (EuroMLSys@EuroSys, 2023)

Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. - Martin Asenov; Qiwen Deng; Gingfung Yeung; Adam Barker (IC2E, 2023)

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 (ICLR, 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)

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 (EuroSys, 2025)

Lightweight Online Adaption for Time Series Foundation Model Forecasts. - Thomas L. Lee; William Toner; Rajkarn Singh; Artjom Joosem; Martin Asenov (CoRR, 2025)

Performance of Zero-Shot Time Series Foundation Models on Cloud Data. - William Toner; Thomas L. Lee; Artjom Joosen; Rajkarn Singh; Martin Asenov (CoRR, 2025)