NeurIPS 2026 Workshop
XAI4Science
Knowledge Discovery and Trust through Interpretable Foundation Models
Dec 11/12, 2026
Sydney, Australia
Co-located with NeurIPS 2026
Weather and climate foundation models now rival physics-based forecasts at a fraction of the computational cost. But unlike models built on known equations, their reasoning is opaque, and they can quietly hallucinate. XAI4Science brings together ML researchers, climate scientists, and policy experts to make these models explainable, trustworthy, and physically grounded.
What the Workshop Covers
01
Ante-hoc
Ante-hoc
Interpretability
Self-explainable architectures and inductive biases for Foundation Models.
02
Post-hoc Attribution & Evaluation
Attribution and probing methods, evaluated for their faithfulness.
03
Physics-Consistent Explanations
Benchmarks that check explanations against known physical laws.
This is not an exhaustive list and applications to other Science domains are welcome. For any question reach out to xai4science@gmail.com.
Organizers
Leonardo Pesce · Jiawen Wei · Gianmarco Mengaldo
National University of Singapore
XAI4Science is non-profit and community-run.
Questions or sponsorship inquiries welcome.