Media Summary: Episode 5: In this episode, we dive into ML models that have invariant representations and how forces are estimated. A physical ... Dr. Larry Zitnick is a Research Scientist in the Fundamental AI Research Team and Director at Meta AI. Dr. Zitnick is known for ... Team TTRC (formerly Team Tencent AI Lab), presenting their 1st place entry, GeoEnsemble, at the NeurIPS 2022
Open Catalyst Project - Detailed Analysis & Overview
Episode 5: In this episode, we dive into ML models that have invariant representations and how forces are estimated. A physical ... Dr. Larry Zitnick is a Research Scientist in the Fundamental AI Research Team and Director at Meta AI. Dr. Zitnick is known for ... Team TTRC (formerly Team Tencent AI Lab), presenting their 1st place entry, GeoEnsemble, at the NeurIPS 2022 New methods for carbon dioxide removal are urgently needed to combat global climate change. Discovering new materials is key ... Episode 6: In this episode, we explore ML models that have equivariant representations. These model representations are quite ... Microsoft Research Asia (previously "MachineLearning") presenting their 1st place entry, Graphormer, at the NeurIPS 2021:
Episode 7: In this episode, we explore how well the ML models we've discussed perform in practice. We describe the Team Atomic Architects from MIT presenting their 2nd place entry, Equiformer + SCN, at the NeurIPS 2022
