Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules. - Benjamín Sánchez-Lengeling; Jennifer N. Wei; Brian K. Lee; Richard C. Gerkin; Alán Aspuru-Guzik; Alexander B. Wiltschko (CoRR, 2019)

Evaluating Attribution for Graph Neural Networks. - Benjamín Sánchez-Lengeling; Jennifer N. Wei; Brian K. Lee; Emily Reif; Peter Wang; Wesley Wei Qian; Kevin McCloskey; Lucy J. Colwell; Alexander B. Wiltschko (NeurIPS, 2020)

AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. - Hirofumi Tsuruta; Hiroyuki Yamazaki; Ryota Maeda; Ryotaro Tamura; Jennifer N. Wei; Zelda E. Mariet; Poomarin Phloyphisut; Hidetoshi Shimokawa; Joseph R. Ledsam; Lucy J. Colwell; Akihiro Imura (NeurIPS, 2023)

Predicting emergence of crystals from amorphous matter with deep learning. - Muratahan Aykol; Amil Merchant; Simon L. Batzner; Jennifer N. Wei; Ekin Dogus Cubuk (CoRR, 2023)

Predicting emergence of crystals from amorphous precursors with deep learning potentials. - Muratahan Aykol; Amil Merchant; Simon L. Batzner; Jennifer N. Wei; Ekin Dogus Cubuk (Nat. Comput. Sci., 2025)