Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning

no code implementations • 22 Jul 2023 • Romain Lacombe, Andrew Gaut, Jeff He, David Lüdeke, Kateryna Pistunova

Deep learning in computational biochemistry has traditionally focused on molecular graphs neural representations; however, recent advances in language models highlight how much scientific knowledge is encoded in text.

Contrastive Learning Property Prediction +3

Improving extreme weather events detection with light-weight neural networks

no code implementations • 31 Mar 2023 • Romain Lacombe, Hannah Grossman, Lucas Hendren, David Lüdeke

To advance automated detection of extreme weather events, which are increasing in frequency and intensity with climate change, we explore modifications to a novel light-weight Context Guided convolutional neural network architecture trained for semantic segmentation of tropical cyclones and atmospheric rivers in climate data.

Data Augmentation Feature Engineering +1