Austin Talbot

According to our database, Austin Talbot authored at least 7 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Detecting Batch Heterogeneity via Likelihood Clustering.

Austin Talbot, Yue Ke

CoRR, January, 2026

2025

Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia.

Austin Talbot, Alex V. Kotlar, Lavanya Rishishwar, Yue Ke

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Generative Principal Component Regression via Variational Inference.

Austin Talbot, Corey J. Keller, David E. Carlson, Alex V. Kotlar

CoRR, 2024

2022

Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility.

Liyun Tu, Austin Talbot, Neil Gallagher, David E. Carlson

IEEE Trans. Signal Process., 2022

AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models.

William E. Carson IV, Austin Talbot, David E. Carlson

CoRR, 2022

2020

Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity.

Austin Talbot, David B. Dunson, Kafui Dzirasa, David E. Carlson

CoRR, 2020

2017

Cross-Spectral Factor Analysis.

Neil Gallagher, Kyle R. Ulrich, Austin Talbot, Kafui Dzirasa, Lawrence Carin, David E. Carlson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017