This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
Each year, we ask some top investors what they think the next year will bring. Last year, some investors thought the IPO market would be back up and running by now (which didn’t quite happen), while ...
Abstract: In feature learning (FL), structural information shows advantages in retaining information and maintaining stability. Graph diffusion, a graph learning method that can focus on neighborhood ...
Abstract: Accurate day-ahead forecasting of wind power generation, both deterministically and probabilistically, is crucial for reliable and efficient power system operations, and its significance ...
@inproceedings{steinke2025curbosg, author={Steinke, Tim and Büchner, Martin and Vödisch, Niclas and Valada, Abhinav}, booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and ...
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