Alex 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.

CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning pdf

Alan M. Moses, Alex X. Lu, Stanley Bryan Z. Hua, 2021, ArXiv.

Random Embeddings and Linear Regression can Predict Protein Function pdf

Alan M. Moses, Alex X. Lu, Tianyu Lu, 2021, ArXiv.

Learning Biology Through Puzzle-solving: Unbiased Automatic Understanding of Microscopy Images with Self-supervised Learning

Alan M. Moses, Oren Z. Kraus, Alex X. Lu, 2020, Microscopy and Microanalysis.

Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting

Alan M. Moses, Oren Z. Kraus, Alex X. Lu, 2019, PLoS computational biology.

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 .

Convolutions are competitive with transformers for protein sequence pretraining

Alex X. Lu, Nicoló Fusi, Kevin Kaichuang Yang, 2022, bioRxiv.

Protein structure generation via folding diffusion

Rianne van den Berg, Alex X. Lu, James Zou, 2022, Nature communications.

Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images

Alex X. Lu, Alexander Lin, 2022, bioRxiv.

Improved Conditional Flow Models for Molecule to Image Synthesis pdf

Regina Barzilay, Tommi Jaakkola, Wengong Jin, 2020, ArXiv.

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

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

Convolutions are competitive with transformers for protein sequence pretraining

Alex X. Lu, Nicoló Fusi, Kevin Kaichuang Yang, 2024, bioRxiv.

YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells

Alan M. Moses, Alex X Lu, Taraneh Zarin, 2019, Bioinform..

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.

Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins

Yolanda T. Chong, Alan M. Moses, Bob Strome, 2018, eLife.

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Naomi K. Caselli, Fyodor O. Minakov, Alex X. Lu, 2023, 2304.05934.

Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting

Alex Lu, Alan M. Moses, Samuel J. Cooper, 2018, bioRxiv.

YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells

Alan M. Moses, Ian S Hsu, Alex X. Lu, 2019, Bioinform..

Domain adaptation using optimal transport for invariant learning using histopathology datasets

Alex X. Lu, David Alvarez-Melis, G. Huynh, 2023, ArXiv.

An Unsupervised kNN Method to Systematically Detect Changes in Protein Localization in High-Throughput Microscopy Images

Alan M. Moses, Alex Xijie Lu, Alex X. Lu, 2016, PloS one.

Integrating images from multiple microscopy screens reveals diverse patterns of protein 2 subcellular localization change 3 4

Ian S Hsu, Oren Z. Kraus, Alex X. Lu, 2018 .