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2020 – today
- 2022
[i3]Amit Chaulwar, Lukas Malik, Maciej Krajewski, Felix Reichel, Leif-Nissen Lundbæk, Michael Huth, Bartlomiej Matejczyk:
Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices. CoRR abs/2207.12852 (2022)- 2021
- [i2]Amit Chaulwar, Michael Huth:
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection. CoRR abs/2107.13640 (2021) - 2020
- [i1]Amit Chaulwar:
Private Dataset Generation Using Privacy Preserving Collaborative Learning. CoRR abs/2004.13598 (2020)
2010 – 2019
- 2019
- [c4]Amit Chaulwar, Hussein Al-Hashimi, Michael Botsch, Wolfgang Utschick
:
Efficient Hybrid Machine Learning Algorithm for Trajectory Planning in Critical Traffic-Scenarios. ICITE 2019: 196-202 - 2018
- [c3]Amit Chaulwar, Michael Botsch, Wolfgang Utschick:
Generation of Reference Trajectories for Safe Trajectory Planning. ICANN (1) 2018: 423-434 - 2017
- [c2]Amit Chaulwar, Michael Botsch, Wolfgang Utschick:
A machine learning based biased-sampling approach for planning safe trajectories in complex, dynamic traffic-scenarios. Intelligent Vehicles Symposium 2017: 297-303 - 2016
- [c1]Amit Chaulwar, Michael Botsch, Wolfgang Utschick:
A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios. ICMLA 2016: 540-546
Coauthor Index
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