Marcus Fechner: Unterschied zwischen den Versionen
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|Raum=3A-05.1 | |Raum=3A-05.1 | ||
|Bild=profile.jpg | |Bild=profile.jpg | ||
− | |Info= | + | |Info=Hey there! 👋 |
− | |Info EN= | + | <br><br> |
+ | I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I try to show my students the manifold world of machine learning, delving into both fundamentals and advanced methods. | ||
+ | <br><br> | ||
+ | My research playground is nothing short of fascinating. I'm captivated by the idea of creating generally capable autonomous agents, a quest that necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly focused on unraveling the mystery of how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos. | ||
+ | <br><br> | ||
+ | But that's not all; I'm also involved in the SofDCar project. Here, I'm working on perception systems for autonomous vehicles, systems that possess the remarkable ability to detect when they venture into uncharted territory or face distribution shifts by embracing uncertainty. | ||
+ | <br><br> | ||
+ | If you share my enthusiasm for this ever-evolving field and you're keen to explore opportunities to collaborate, don't hesitate to reach out. I'm open to discussions about potential Hiwi positions and exciting open thesis projects. | ||
+ | <br><br> | ||
+ | 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics | ||
+ | |Info EN=Hey there! 👋 | ||
+ | <br><br> | ||
+ | I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I try to show my students the manifold world of machine learning, delving into both fundamentals and advanced methods. | ||
+ | <br><br> | ||
+ | My research playground is nothing short of fascinating. I'm captivated by the idea of creating generally capable autonomous agents, a quest that necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly focused on unraveling the mystery of how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos. | ||
+ | <br><br> | ||
+ | But that's not all; I'm also involved in the SofDCar project. Here, I'm working on perception systems for autonomous vehicles, systems that possess the remarkable ability to detect when they venture into uncharted territory or face distribution shifts by embracing uncertainty. | ||
+ | <br><br> | ||
+ | If you share my enthusiasm for this ever-evolving field and you're keen to explore opportunities to collaborate, don't hesitate to reach out. I'm open to discussions about potential Hiwi positions and exciting open thesis projects. | ||
+ | <br><br> | ||
+ | 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics | ||
|KIT Kompetenzfeld1=Algorithm, Software and System Engineering | |KIT Kompetenzfeld1=Algorithm, Software and System Engineering | ||
|KIT Kompetenzfeld2=Cognition and Information Engineering | |KIT Kompetenzfeld2=Cognition and Information Engineering |
Version vom 11. Oktober 2023, 13:36 Uhr
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M.Sc. Marcus Fechner
- Doktorand
- Tel.:+4972160845937
- Email: marcus fechner∂kit edu
- Raum: 3A-05.1 (Geb. 05.20)
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
- vCard
Hey there! 👋
I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I try to show my students the manifold world of machine learning, delving into both fundamentals and advanced methods.
My research playground is nothing short of fascinating. I'm captivated by the idea of creating generally capable autonomous agents, a quest that necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly focused on unraveling the mystery of how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.
But that's not all; I'm also involved in the SofDCar project. Here, I'm working on perception systems for autonomous vehicles, systems that possess the remarkable ability to detect when they venture into uncharted territory or face distribution shifts by embracing uncertainty.
If you share my enthusiasm for this ever-evolving field and you're keen to explore opportunities to collaborate, don't hesitate to reach out. I'm open to discussions about potential Hiwi positions and exciting open thesis projects.
🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics
SofDCar |
Algorithm, Software and System Engineering
Cognition and Information Engineering
Mobile Systems and Mobility Engineering