Amy X. Lu

发表

Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning pdf

Alan M. Moses, Amy X. Lu, Alex X. Lu, 2020, ArXiv.

The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers pdf

Wiebke Schormann, Alan M. Moses, David W. Andrews, 2019, NeurIPS.

Hurtful words: quantifying biases in clinical contextual word embeddings

Haoran Zhang, Marzyeh Ghassemi, Matthew McDermott, 2020, CHIL.

Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets

Kevin K. Yang, Amy X. Lu, B. Rost, 2021, Current protocols.

Self-Supervised Contrastive Learning of Protein Representations By Mutual Information Maximization

Alan M. Moses, Amy X. Lu, M. Ghassemi, 2020, bioRxiv.

Transfer Learning vs. Batch Effects: what can we expect from neural networks in computational biology?

Alan M. Moses, Amy X. Lu, Alex X. Lu, 2019 .

Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning

Alan M. Moses, Amy X. Lu, Alex X. Lu, 2021, bioRxiv.

Pretraining strategies for effective promoter-driven gene expression prediction

Aniketh Janardhan Reddy, Nilah M. Ioannidis, Amy X. Lu, 2023, bioRxiv.

History and publication trends in the diffusion and early uptake of indirect comparison meta-analytic methods to study drugs: animated coauthorship networks over time

Amy X. Lu, Mina Tadrous, S. Cadarette, 2018, BMJ Open.

Strategies for effectively modelling promoter-driven gene expression using transfer learning

Aniketh Janardhan Reddy, Nilah M. Ioannidis, Amy X. Lu, 2023, bioRxiv.