Johan W. Verjans

DATE-GFN: A Co-Evolutionary Framework for Principled Exploration and Credit Assignment in GFlowNets

The Devil is in the Tokens: Token-Level Structural Analysis Uncovers Hallucinations in LVLMs

DefNTaxS: The Inevitable Need for Context in Classification

Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction

KL DIVERGENCE OPTIMIZATION WITH ENTROPY- RATIO ESTIMATION FOR STOCHASTIC GFLOWNETS