Projects

Master Thesis: On Riemannian Sharpness-Aware Minimization for General Loss Landscapes

Published: January 31, 2025

The thesis investigates the sharpness-aware minimization literature and contributes to the literature by adding a reparameterization-invariant version that works for general loss landscape. The proposed method does not require a probabilistic model formulation or a pre-defined Riemannian manifold for working which FisherSAM and RiemannianSAM does, respectively.

Bachelor Thesis: Visual Question Answering with Knowledge-based Semantics

Published: June 06, 2022

This thesis considers an exhaustive state-of-the-art (SOTA) desription of VQA models, theoretical considerations and implementation details for training a VQA model learning towards a semantical- and conceptually strong latent space spanned by the Conceptnet Numberbatch embeddings as well an analysis of model behaviour by exploiting explainability tools.

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