Alex Lu

According to our database, Alex Lu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas.

Aashaka Desai, Maartje de Meulder, Julie A. Hochgesang, Annemarie Kocab, Alex X. Lu

CoRR, 2024

2023

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

Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg

CoRR, 2023

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

Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Alex X. Lu, Amy X. Lu, Iva Pritisanac, Taraneh Zarin, Julie D. Forman-Kay, Alan M. Moses

PLoS Comput. Biol., 2022

Protein structure generation via folding diffusion.

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

CoRR, 2022

2021

Unsupervised machine learning for hypothesis discovery and representation learning in biological image and sequence analysis.

Alex Lu

PhD thesis, 2021

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

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

CoRR, 2021

Random Embeddings and Linear Regression can Predict Protein Function.

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

CoRR, 2021

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

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

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

CoRR, 2020

Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

CoRR, 2020

2019

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

Alex X. Lu, Oren Z. Kraus, Sam Cooper, Alan M. Moses

PLoS Comput. Biol., 2019

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

Alex X. Lu, Amy X. Lu, Wiebke Schormann, David W. Andrews, Alan M. Moses

CoRR, 2019

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

Alex X. Lu, Taraneh Zarin, Ian Shenyen Hsu, Alan M. Moses

Bioinform., 2019

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

Alex X. Lu, Amy X. Lu, Wiebke Schormann, Marzyeh Ghassemi, David W. Andrews, Alan M. Moses

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019