Programming Assignment II

Select one of the assignments below. Assignments marked with can be extended as a continution in Programming Assgnment II. Projects marked with can be (with some additional work and depending on the results) published as scientific papers.

The goal is to run hyperparameter optimization algorithm such as optuna, collect results from it and use ACFX to try to explain the impact of different hyperparameters on the quality of the optimization process

The goal is to take: https://github.com/ofurman/counterfactuals/tree/main and evaluate it on more examples

The goal is to use LLAVA/Molmo/NVLM/LLama/VALE to build explanations for image classification.

The goal is to use for instance Diffusers-Interpret to generate explanations for generative AI (images, other team text)

Try to setup and raun exmaple from AlphaEvolve public implementation: https://arxiv.org/abs/2506.13131

Focus on rule-based explainers, but also SAHP and LIME: calculate output for anomaly detection task (e.g.: https://zenodo.org/records/11469702) and analyze results