5 citations · 9 across the 4 of their papers we have counts for
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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.LG2025★ 5 cited
Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025
Taiga Saito, Yu Otake, Stephen Wu
This paper presents a novel application of the Tabular Prior-Data Fitted Network (TabPFN) - a transformer-based foundation model for tabular data - to geotechnical site characteriz…
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-…