Martin Asenov
Martin Asenov
Systems Infrastructure Research, Edinburgh Research Center, Huawei Technologies
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Dynamic model of interactions between orientation selective neurons in primary visual cortex
MA Asenov
University of Edinburg. Edinburgh, UK, 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
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
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
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
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
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
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
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
Architectures for online simulation-based inference applied to robot motion planning
MA Asenov
The University of Edinburgh, 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
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
UAV Forge: Innovation for Personal Autonomous Systems
C Prijic, M Asenov, R Wilson, J Ortega, A Hashemi, C Pisuraj, A Sargsyan, ...
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
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