Brockmeier, Austin J.

7 publications

TMLR 2025 Weakly Supervised Object Segmentation by Background Conditional Divergence Hassan Baker, Matthew Emigh, Austin J. Brockmeier

ICLRW 2023 Labeling EEG Components with a Bag of Waveforms from Learned Dictionaries Carlos H Mendoza-Cardenas, Austin Meek, Austin J. Brockmeier

TMLR 2023 Partial Optimal Transport for Support Subset Selection Bilal Riaz, Yuksel Karahan, Austin J. Brockmeier

NeurIPSW 2021 Identifying the Instances Associated with Distribution Shifts Using the Max-Sliced Bures Divergence Austin J. Brockmeier, Claudio Cesar Claros-Olivares, Matthew Emigh, Luis Gonzalo Sanchez Giraldo

NeurIPSW 2021 Kernel Landmarks: An Empirical Statistical Approach to Detect Covariate Shift Yuksel Karahan, Bilal Riaz, Austin J. Brockmeier

MLJ 2019 Continuation Methods for Approximate Large Scale Object Sequencing Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

JMLR 2017 Quantifying the Informativeness of Similarity Measurements Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Y. Goulermas