Simon SchrodiPhD Student
Computer Vision Lab
Office location:
Phone:
+49 761 203 8217 |
![]() |
Research Interest | Projects | Curriculum Vitae | Publications | Teaching |
---|
Student thesis/project supervision
- On The Domain Generalization And Compositional Generalization Of CLIP
- Concept Bottleneck Models Without Predefined Concepts
- Investigating the Impact of the Stem on Model Robustness
- Probabilistic networks for climate modeling with aleatoric uncertainty
- Latent Diffusion Counterfactual Explanations (GCPR 2024)
Teaching
Winter term 2024/2025
- Seminar: Current Works in Computer Vision - Supervisor
Paper: Denoising Vision Transformers - Seminar: Block-Seminar on Deep Learning - Supervisor
Paper: Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Summer term 2024
- Lecture: Image Processing and Computer Graphics - Teaching assistant
- Seminar: Current Works in Computer Vision - Supervisor
Paper: Robust agents learn causal world models - Seminar: Block-Seminar on Deep Learning - Supervisor
Paper: Intriguing properties of generative classifiers
Winter term 2023/2024
- Lecture: Optimization - Teaching assistant
- Seminar: Current Works in Computer Vision - Supervisor
Paper: Linear Spaces of Meanings: Compositional Structures in Vision-Language Models - Seminar: Current Works in Computer Vision - Supervisor
Paper: Rosetta Neurons: Mining the Common Units in a Model Zoo
Summer term 2023
- Lecture: Image Processing and Computer Graphics - Teaching assistant
- Seminar: Current Works in Computer Vision - Supervisor
Paper: Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision - Seminar: Block-Seminar on Deep Learning - Supervisor
Paper: DINOv2: Learning Robust Visual Features without Supervision
Winter term 2022/2023
- Lecture: Optimization - Teaching assistant
- Seminar: Current Works in Computer Vision - Supervisor
Paper: ComPhy: Compositional Physical Reasoning of Objects and Events from Videos - Seminar: Block-Seminar on Deep Learning - Supervisor
Paper: Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Summer term 2022
- Seminar: Current Works in Computer Vision - Supervisor
Paper: Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style - Seminar: Block-Seminar on Deep Learning - Supervisor
Paper: Denoising Diffusion Implicit Models