2 citations · 2 across the 3 of their papers we have counts for
3 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…
cs.CV2022★ 2 cited
Kernel-Based Generalized Median Computation for Consensus Learning
Andreas Nienkötter, Xiaoyi Jiang
Computing a consensus object from a set of given objects is a core problem in machine learning and pattern recognition. One popular approach is to formulate it as an optimization p…