Matthias Wödlinger
Building machine learning models at scale. I hold a PhD in Computer Vision, with a background in machine learning, physics, and mathematics.
Selected Publications
- SASIC: Stereo Image Compression with Latent Shifts and Stereo Attention
- ECSIC: Epipolar Cross Attention for Stereo Image Compression
- Automated Identification of Cell Populations in Flow Cytometry Data with Transformers
- DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
- Light-by-Light Scattering in the Presence of Magnetic Fields
Expertise
Research
- Computer Vision
- Deep Learning
- Generative Models
- Representation & Contrastive Learning
- Large-Scale Pretraining
- Transformers & Attention
- Domain Generalization
LLMs & GenAI
- Prompt Engineering
- Automated Prompt Optimization
- LLM Evaluation
Data
- Dataset Construction & Curation
- Feature Engineering
Engineering
- Python
- PyTorch
- TensorFlow
- C / C++
- Large-Scale & Distributed Training
Education
| PhD in Computer Vision | TU Vienna | Nov 2024 |
| MSc in Technical Mathematics | TU Vienna | Nov 2018 |
| MSc in Technical Physics | TU Vienna | Apr 2018 |