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cs.LG2026
Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
Chenghan Wu, Zongmin Yu, Boai Sun +1
In-context operator learning enables neural networks to infer solution operators from contextual examples without weight updates. While prior work has demonstrated the effectivenes…
cs.LG2025
LinguaFluid: Language Guided Fluid Control via Semantic Rewards in Reinforcement Learning
Aoming Liang, Chi Cheng, Dashuai Chen +2
In the domain of scientific machine learning, designing effective reward functions remains a challenge in reinforcement learning (RL), particularly in environments where task goals…