We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. - Tyler LaBonte; Carianne Martinez; Scott A. Roberts (CoRR, 2019)

Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations. - Michael C. Krygier; Tyler LaBonte; Carianne Martinez; Chance Norris; Krish Sharma; Lincoln N. Collins; Partha P. Mukherjee; Scott A. Roberts (CoRR, 2020)

Towards Last-layer Retraining for Group Robustness with Fewer Annotations. - Tyler LaBonte; Vidya Muthukumar; Abhishek Kumar 001 (NeurIPS, 2023)

Scaling Novel Object Detection with Weakly Supervised Detection Transformers. - Tyler LaBonte; Yale Song; Xin Wang 066; Vibhav Vineet; Neel Joshi (WACV, 2023)

The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations. - Tyler LaBonte; John C. Hill; Xinchen Zhang; Vidya Muthukumar; Abhishek Kumar 001 (NeurIPS, 2024)

Task Shift: From Classification to Regression in Overparameterized Linear Models. - Tyler LaBonte; Kuo-Wei Lai; Vidya Muthukumar (AISTATS, 2025)