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Max Schmidt
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2020 – today
- 2023
- [i2]Ragon Ebker, Anna Muranova, Max Schmidt:
Power iteration for matrices with power series entries. CoRR abs/2311.06813 (2023) - 2022
- [j2]Max Schmidt, Jérôme Kirchhoff, Oskar von Stryk:
A Modular and Portable Black Box Recorder for Increased Transparency of Autonomous Service Robots. IEEE Robotics Autom. Lett. 7(4): 10673-10680 (2022) - [j1]Marcel Blöcher, Lin Wang, Patrick Eugster, Max Schmidt:
Holistic Resource Scheduling for Data Center In-Network Computing. IEEE/ACM Trans. Netw. 30(6): 2448-2463 (2022) - 2021
- [c5]Marcel Blöcher, Lin Wang, Patrick Eugster, Max Schmidt:
Switches for HIRE: resource scheduling for data center in-network computing. ASPLOS 2021: 268-285 - [c4]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. ITSC 2021: 2938-2943 - 2020
- [c3]Julia Nitsch, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
Learning Common and Transferable Feature Representations for Multi-Modal Data. IV 2020: 1601-1607 - [i1]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. CoRR abs/2011.01413 (2020)
2010 – 2019
- 2019
- [c2]Julia Nitsch, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures. ICRA 2019: 4369-4375 - 2018
- [c1]Julia Nitsch, Julio Aguilar, Juan I. Nieto, Roland Siegwart, Max Schmidt, Cesar Cadena:
3D Ground Point Classification for Automotive Scenarios. ITSC 2018: 2603-2608
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