4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Geological text descriptions in ill-posed inverse problems: insights from learned hydraulic-conductivity inversion
Taiga Saito, Yu Otake, Daijiro Mizutani +1
Hydraulic-conductivity inversion is ill posed: even complete head observations can leave structural ambiguity. Geological text descriptions can supply additional information about…
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★ 4 cited
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-…