Marcus Fechner: Unterschied zwischen den Versionen
Bs4370 (Diskussion | Beiträge) |
Bs4370 (Diskussion | Beiträge) |
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|Email=marcus.fechner@kit.edu | |Email=marcus.fechner@kit.edu | ||
|Raum=3A-05.1 | |Raum=3A-05.1 | ||
| − | |Bild= | + | |Bild=profile2.jpg |
| − | |Info= | + | |Info=<br><br> |
| − | |Info EN= | + | Hey there! 👋 |
| − | |KIT | + | <br><br> |
| − | |KIT | + | 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 aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques. |
| + | <br><br> | ||
| + | My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in 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, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories. | ||
| + | <br><br> | ||
| + | If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities. | ||
| + | <br><br> | ||
| + | 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics | ||
| + | <br><br> | ||
| + | === Open Positions 👩🔬👨🔬=== | ||
| + | <ul> | ||
| + | <li>[https://aifb.kit.edu/web/Stellenausschreibung208 Student Research Assistant Position in Generally Capable Autonomous Agents from Web-Scale Video Data]</li> | ||
| + | <li>[https://aifb.kit.edu/web/Stellenausschreibung209 Student Research Assistant Position in Object Detection with Uncertainty to Tackle Shifted and Out-Of-Distribution Data]</li> | ||
| + | </ul> | ||
| + | |Info EN=<br><br> | ||
| + | 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 aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques. | ||
| + | <br><br> | ||
| + | My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in 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, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories. | ||
| + | <br><br> | ||
| + | If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities. | ||
| + | <br><br> | ||
| + | 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics | ||
| + | <br><br> | ||
| + | === Open Positions 👩🔬👨🔬=== | ||
| + | <ul> | ||
| + | <li>[https://aifb.kit.edu/web/Stellenausschreibung208 Student Research Assistant Position in Generally Capable Autonomous Agents from Web-Scale Video Data]</li> | ||
| + | <li>[https://aifb.kit.edu/web/Stellenausschreibung209 Student Research Assistant Position in Object Detection with Uncertainty to Tackle Shifted and Out-Of-Distribution Data]</li> | ||
| + | </ul> | ||
| + | |KIT Kompetenzfeld1=Algorithm, Software and System Engineering | ||
| + | |KIT Kompetenzfeld2=Cognition and Information Engineering | ||
| + | |KIT Kompetenzfeld3=Mobile Systems and Mobility Engineering | ||
|Publikationen anzeigen=Ja | |Publikationen anzeigen=Ja | ||
| − | |Vorträge anzeigen= | + | |Vorträge anzeigen=Ja |
|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
|Abschlussarbeiten anzeigen=Ja | |Abschlussarbeiten anzeigen=Ja | ||
| Zeile 29: | Zeile 64: | ||
|Forschungsgebiet=Maschinelles Lernen | |Forschungsgebiet=Maschinelles Lernen | ||
}} | }} | ||
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Aktuelle Version vom 7. November 2023, 08:09 Uhr
-
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 aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques.
My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in 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, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories.
If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities.
🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics
Open Positions 👩🔬👨🔬
- Student Research Assistant Position in Generally Capable Autonomous Agents from Web-Scale Video Data
- Student Research Assistant Position in Object Detection with Uncertainty to Tackle Shifted and Out-Of-Distribution Data
 |
SofDCar |
Algorithm, Software and System Engineering
Cognition and Information Engineering
Mobile Systems and Mobility Engineering