Author

S. Bing

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#artificial intelligence Conference Feb 2025

Sanity Checking Causal Representation Learning on a Simple Real-World System

This work evaluates methods for causal representation learning on a simple, real-world system that satisfies the basic problem setup of CRL, and finds that most methods already fail on this synthetic ablation despite its simple data-generating process.

Juan L. Gamella, S. Bing, Jakob Runge · International Conference on... · 8 citations

#machine learning Preprint Aug 2026

Advancing Open and Reproducible Relational Learning: RelArena-$\alpha$, TabPFN-Rel and RPI

This first release of Prior Labs in relational learning opens-source three pieces of software that expect to accelerate research in the field towards meaningful real-world impact and releases an initial version of RPI, an open-source, model-agnostic interface that enables early adopters to easily define problems on new...

A. Hayler, Klemens Flöge, Alan Arazi et al. · 3 citations · ⚡1