Martin Asenov

According to our database, Martin Asenov authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

DISCO: Document Intelligence Suite for COmparative Evaluation.

Kenza Benkirane, Dan Goldwater, Martin Asenov, Aneiss Ghodsi

CoRR, March, 2026

Retrieval or Representation? Reassessing Benchmark Gaps in Multilingual and Visually Rich RAG.

Martin Asenov, Kenza Benkirane, Dan Goldwater, Aneiss Ghodsi

CoRR, March, 2026

2025

Lightweight Online Adaption for Time Series Foundation Model Forecasts.

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

CoRR, February, 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

Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning.

Martin Asenov, Qiwen Deng, Gingfung Yeung, Adam Barker

Proceedings of the IEEE International Conference on Cloud Engineering, 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

2022

Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics.

Carlo Tiseo, Quentin Rouxel, Martin Asenov, Keyhan Kouhkiloui Babarahmati, Subramanian Ramamoorthy, Zhibin Li, Michael N. Mistry

CoRR, 2022

Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints.

Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales

Proceedings of the Learning for Dynamics and Control Conference, 2022

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

Vid2Param: Modeling of Dynamics Parameters From Video.

Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy

IEEE Robotics Autom. Lett., 2020

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: Online system identification from video for robotics applications.

Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy

CoRR, 2019