Regular Paper Track
Up to 8 pages, excluding references and appendices.
XAI4Science: Knowledge Discovery and Trust through Interpretable Foundation Models
XAI4Science 2026 is a NeurIPS workshop focused on advancing trustworthy AI through explainable methods for scientific foundation models, with a primary emphasis on weather and climate forecasting but welcoming applications in other scientific domains such as medicine, biology, finance, and energy. The workshop brings together ML researchers, climate scientists, and policy experts to address transparency challenges in black-box models and promote physics-consistent, interpretable AI for scientific discovery and equitable adoption.

Full paper
September 6, 2026
AoE
Conference timeline
Full paperKey deadline
September 6, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Up to 8 pages, excluding references and appendices.
Up to 5 pages, excluding references and appendices.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified August 30, 2026