3 papers
cs.LG2026
What Do Language Priors Contribute to Darcy-Flow Inversion? A Mechanistic Audit
Taiga Saito, Yu Otake, Daijiro Mizutani +1
In ill-posed inverse problems, the recovered solution depends as much on the prior as on the data, yet much of the engineering knowledge that could serve as that prior is recorded…
cs.CE2026
TabPFN Extensions for Interpretable Geotechnical Modelling
Taiga Saito, Yu Otake, Daijiro Mizutani +1
Geotechnical site characterisation relies on sparse, heterogeneous borehole data, where uncertainty quantification and interpretability matter as much as predictive accuracy. We ev…
cs.LG2023
Future-proofing geotechnics workflows: accelerating problem-solving with large language models
Stephen Wu, Yu Otake, Daijiro Mizutani +16
The integration of Large Language Models (LLMs) like ChatGPT into the workflows of geotechnical engineering has a high potential to transform how the discipline approaches problem-…