9 citations · 22 across the 4 of their papers we have counts for
5 papers
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
Leena Chennuru Vankadara, Siavash Haghiri, Michael Lohaus +2
The objective of ordinal embedding is to find a Euclidean representation of a set of abstract items, using only answers to triplet comparisons of the form "Is item closer to th…
Estimation of perceptual scales using ordinal embedding
Siavash Haghiri, Felix Wichmann, Ulrike von Luxburg
In this paper, we address the problem of measuring and analysing sensation, the subjective magnitude of one's experience. We do this in the context of the method of triads: the sen…
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing
Siavash Haghiri, Patricia Rubisch, Robert Geirhos +2
Traditionally, psychophysical experiments are conducted by repeated measurements on a few well-trained participants under well-controlled conditions, often resulting in, if done pr…
Comparison-Based Random Forests
Siavash Haghiri, Damien Garreau, Ulrike von Luxburg
Assume we are given a set of items from a general metric space, but we neither have access to the representation of the data nor to the distances between data points. Instead, supp…
Comparison Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg
We consider machine learning in a comparison-based setting where we are given a set of points in a metric space, but we have no access to the actual distances between the points. I…