19 citations · 54 across the 25 of their papers we have counts for
5 papers · 1 filter
Localization from structured distance matrices via low-rank matrix recovery
Samuel Lichtenberg, Abiy Tasissa
We study the problem of determining the configuration of points by using their distances to nodes, referred to as anchor nodes. One sampling scheme is Nystrom sampling, whi…
RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision
Woojoo Na, Abiy Tasissa
We introduce RACH-Space, an algorithm for labelling unlabelled data in weakly supervised learning, given incomplete, noisy information about the labels. RACH-Space offers simplicit…
A dual basis approach to multidimensional scaling
Samuel Lichtenberg, Abiy Tasissa
Classical multidimensional scaling (CMDS) is a technique that embeds a set of objects in a Euclidean space given their pairwise Euclidean distances. The main part of CMDS involves…
Sparse, Geometric Autoencoder Models of V1
Jonathan Huml, Abiy Tasissa, Demba Ba
The classical sparse coding model represents visual stimuli as a linear combination of a handful of learned basis functions that are Gabor-like when trained on natural image data.…
SHAPER: Can You Hear the Shape of a Jet?
Demba Ba, Akshunna S. Dogra, Rikab Gambhir +2
The identification of interesting substructures within jets is an important tool for searching for new physics and probing the Standard Model at colliders. Many of these substructu…