Excited to attend #NeurIPS in Vancouver this year where we are presenting two works: 1. Scaling transformer neural networks for skillful and reliable medium-range weather forecasting(https://lnkd.in/gaSV3RHz, https://lnkd.in/gsduUBZk), Poster # 3906 - Thursday 12 Dec 11a - 2p PST Tung Nguyen, Rohan shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian Foster, Aditya Grover Poster: https://lnkd.in/gJBD8Bcm 2. Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks (https://lnkd.in/gdwVMpdP) in Statistical Frontiers in LLMs and Foundation Models Workshop - Saturday 14 Dec 12:00 p.m. — 12:45 p.m. PST Zizhang Chen, Pengyu Hong poster: https://lnkd.in/gibZZhQe Drop by if you are interested in this area and would like to talk to us about these works. I am also looking for summer interns in these areas including #TrustworthyAI #UncertaintyQuantification and #AISafety evaluation for #LLMs. Feel free to reach out if you are interested.
