| Autonomous multi-species environmental gas sensing using drone-based Fourier-transform infrared spectroscopy M Rutkauskas, M Asenov, S Ramamoorthy, DT Reid Optics Express 27 (7), 9578-9587, 2019 | 32 | 2019 |
| Vid2Param: Modeling of Dynamics Parameters From Video M Asenov, M Burke, D Angelov, T Davchev, K Subr, S Ramamoorthy IEEE Robotics and Automation Letters 5 (2), 414-421, 2019 | 24* | 2019 |
| Active localization of gas leaks using fluid simulation M Asenov, M Rutkauskas, D Reid, K Subr, S Ramamoorthy IEEE Robotics and Automation Letters 4 (2), 1776-1783, 2019 | 20 | 2019 |
| Vision-based system identification and 3d keypoint discovery using dynamics constraints M Jaques, M Asenov, M Burke, T Hospedales arXiv preprint arXiv:2109.05928, 2021 | 3 | 2021 |
| Dynamic model of interactions between orientation selective neurons in primary visual cortex MA Asenov University of Edinburg. Edinburgh, UK, 2016 | 3 | 2016 |
| Inversion of Ultrafast X-ray Scattering with Dynamics Constraints M Asenov, N Zotev, S Ramamoorthy, A Kirrander NeurIPS Workshop on Machine Learning and the Physical Sciences, 2020 | 2 | 2020 |
| Multi-Species Environmental Gas Sensing Using Drone-Based Fourier-Transform Infrared Spectroscopy M Rutkauskas, M Asenov, S Ramamoorthy, DT Reid CLEO: Applications and Technology, AM1K. 6, 2019 | 2 | 2019 |
| Preliminary findings of confocal laser endomicroscopy and Raman spectroscopy in human breast tissue characterisation A Ezzat, K Vyas, M Chauhan, M Asenov, A Silvanto, A Jha, ... European Journal of Surgical Oncology 48 (5), e221-e222, 2022 | 1 | 2022 |
| 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 | | 2023 |
| Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning M Asenov, Q Deng, G Yeung, A Barker 2023 IEEE International Conference on Cloud Engineering (IC2E), 113-120, 2023 | | 2023 |
| 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 | | 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 | | 2023 |
| Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics C Tiseo, Q Rouxel, M Asenov, KK Babarahmati, S Ramamoorthy, Z Li, ... arXiv preprint arXiv:2206.09906, 2022 | | 2022 |
| Architectures for online simulation-based inference applied to robot motion planning MA Asenov The University of Edinburgh, 2022 | | 2022 |
| Line-scan Confocal Endomicroscopy for Rapid Digital Histology of Early Breast Cancer K Vyas, A Ezzat, M Asenov, M Chauhan, S Ramamoorthy, A Jha, D Leff CLEO: Applications and Technology, ATh4I. 7, 2022 | | 2022 |
| Portable confocal endomicroscopy for ductal feature characterization: Toward margin assessment in breast-conserving surgery A Ezzat, K Vyas, M Asenov, M Chauhan, A Jha, S Ramamoorthy, D Leff The 23rd Annual Meeting of The American Society of Breast Surgeons, 2022, 2022 | | 2022 |
| UAV Forge: Innovation for Personal Autonomous Systems C Prijic, M Asenov, R Wilson, J Ortega, A Hashemi, C Pisuraj, A Sargsyan, ... | | 2015 |
| Active Sensing with a UAV-mounted Chemical Sensor MA Asenov | | |
| Generating disparity maps using Convolutional Neural Networks M Asenov, D Dimitrov | | |
| Gaussian processes. Theory and applications in predictive modeling of spatiotemporal phenomena MA Asenov | | |
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of EdinburghVerified email at ed.ac.uk
