teodorchiaburu / modeling-uncertainty-local-explainability

Local explanations with uncertainty 💐!

Hi there 👋

My name is Teo. I am a Data Science graduate and since the end of 2021 a passionate PhD candidate in the field of explainable AI, aka XAI, at Berliner Hochschule für Technik. Whenever I'm not working, I'm either dancing or teaching Salsa Cubana, playing table tennis or cooking a delicious meal 😋

• 🏆 I have just had the honor to represent my university at the CVPR 2022 in New Orleans with my very first paper.
• 🔭 I’m currently working on my next paper. The goal is to apply various XAI approaches on Deep Learning models trained to recognize wild bee species from photos 🐝 (what is called Fine Grained Visual Recognition - FGVR) and analyze the uncertainty in the explanations generated. I am going to approach this via Concept Activation Vectors and Contrastive Learning Techniques.
• 🌱 I’m currently learning to work with Docker and Kubernetes.
• 👯 I’m looking to collaborate on any XAI project (ideally embedded into the broader context of Computer Vision).
• 📫 You can contact me through mail, on LinkedIn or XING. I also have a personal website.

Looking forward to hearing from you ;^)