2 papers
cs.LG2026
SNAP: A Self-Consistent Agreement Principle with Application to Robust Computation
Xiaoyi Jiang, Andreas Nienkötter
We introduce SNAP (Self-coNsistent Agreement Principle), a self-supervised framework for robust computation based on mutual agreement. Based on an Agreement-Reliability Hypothesis…
cs.LG2025
Robustness of Generalized Median Computation for Consensus Learning in Arbitrary Spaces
Andreas Nienkötter, Sandro Vega-Pons, Xiaoyi Jiang
Robustness in terms of outliers is an important topic and has been formally studied for a variety of problems in machine learning and computer vision. Generalized median computatio…