Photo credit: Vaida Abdrachimova
Hi, I’m Magamed Taimeskhanov
I'm a first-year PhD student in the Theory of Machine Learning group (Julius-Maximilians-Universität Würzburg) under the supervision of Damien Garreau. My primary interests lie in the theory of deep learning, ML interpretability, and optimization. I also like programming, with proficiency in C++, Python, and JavaScript.
Latest updates
A running log of highlights, talks, and papers.
Attending the Winter School on Causality and Explainable AI in Paris
20-24 October 2025
At the LJAD (Nice, France) - visit hosted by Samuel Vaiter
1 September - 4 October 2025
In Montreal for IJCAI
16-22 August 2025
Second pre-print on arXiv!
2 June 2025
We propose a constructivist approach to feature attribution, first defining attributions for simple models, and then extending the attribution to more complex models
Talking at Centrale Méditerranée (Marseille, France)
20 December 2024
Attending the IMS International Conference on Statistics and Data Science (ICSDS)
16-19 December 2024
Attending the 47th German Conference on Artificial Intelligence
25-27 September 2024
In Vilnius for ECML. Our paper got the Best Paper Award! 🎉🥳🎉
9-13 September 2024
Starting PhD at the Julius-Maximilians-Universität Würzburg under the supervision of Prof. Damien Garreau
1 September 2024
Visiting the Julius-Maximilians-Universität Würzburg
1-12 July 2024
First pre-print on arXiv! To appear at ECML 2024
2 April 2024
We show that CAM-based methods can provably highlight unseen parts of an image