Unraveling the Temporal Dynamics of the Unet in Diffusion Models. - Vidya Prasad; Zhu-Tian Chen; Anna Vilanova; Hanspeter Pfister; Nicola Pezzotti; Hendrik Strobelt (CoRR, 2023)

Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. - Iris Kolenbrander; Vidya Prasad; Leanne Zikken; Maureen A. J. M. van Eijnatten; Matteo Maspero; Josien P. W. Pluim (WBIR, 2024)

Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI. - Qi Huang; Emanuele Mezzi; Osman Mutlu; Miltiadis Kofinas; Vidya Prasad; Shadnan Azwad Khan; Elena Ranguelova; Niki van Stein (xAI (1), 2024)

The Tree of Diffusion Life: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models. - Vidya Prasad; Hans Van Gorp; Christina Humer; Anna Vilanova; Nicola Pezzotti (CoRR, 2024)

Progressive Monitoring of Generative Model Training Evolution. - Vidya Prasad; Anna Vilanova; Nicola Pezzotti (CoRR, 2024)

The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. - Vidya Prasad; Ruud J. G. van Sloun; Stef van den Elzen; Anna Vilanova; Nicola Pezzotti (IEEE Trans. Vis. Comput. Graph., 2024)

ProactiV: Studying Deep Learning Model Behavior Under Input Transformations. - Vidya Prasad; Ruud J. G. van Sloun; Anna Vilanova; Nicola Pezzotti (IEEE Trans. Vis. Comput. Graph., 2024)