Posts tagged: Machine Learning

Paper accepted at EICS 2026: Interactive Latent Space Visualization for AI Model Sensemaking

, by , PACMHCI EICS 2026 paper, EICS, PACMHCI, machine learning, latent space, VAE, sensemaking, interactive visualization, AI, FAIR

From Embeddings to Exploration: Engineering Interactive Latent Space Visualizations for AI Model Sensemaking

Our paper "From Embeddings to Exploration: Engineering Interactive Latent Space Visualizations for AI Model Sensemaking" (PDF) has been accepted at EICS 2026 and will appear in the EICS issue of Proceedings of the ACM on Human-Computer Interaction. This is work by Sebe Vanbrabant together with Jarne Thys, Gilles Eerlings, Gustavo Rovelo Ruiz, Davy Vanacken, and myself.

Read more →

Paper accepted at ICLR 2026: DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration

, by , ICLR 2026 paper, FAIR, ICLR, machine learning, Rashomon set, model multiplicity, uncertainty, FiLM, CMA-ES, deep learning, Flanders Make

DIVERSE: Finding the Many Faces of AI Decision-Making

Our paper “DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration” () has been accepted at ICLR 2026, one of the top venues for machine learning research. This is joint work with my PhD student Gilles Eerlings, Brent Zoomers, Jori Liesenborgs, and Gustavo Rovelo Ruiz at the Digital Future Lab (UHasselt - Flanders Make). More details on the publication page.

Read more →

All Posts by Category or Tags.