3 papers
cs.CV2026
Feature Evolution and Migration during Vision Transformer Training
Joonas Järve, Halil Ibrahim Aysel, Tarun Khajuria +1
We present a novel view on feature evolution in Vision Transformers (ViTs) by visualizing the training process over two dimensions -- network depth (layer) and training time (epoch…
cs.LG2025
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Joonas Järve, Karl Kaspar Haavel, Meelis Kull
Despite rapid advances in AI, safety remains the main bottleneck to deploying machine-learning systems. A critical safety component is out-of-distribution detection: given an input…
cs.LG2024
Cautious Calibration in Binary Classification
Mari-Liis Allikivi, Joonas Järve, Meelis Kull
Being cautious is crucial for enhancing the trustworthiness of machine learning systems integrated into decision-making pipelines. Although calibrated probabilities help in optimal…