Search Results for author:
Found 6 papers, 0 papers with code
Correlation Clustering of Organoid Images
In biological and medical research, scientists now routinely acquire microscopy images of hundreds of morphologically heterogeneous organoids and are then faced with the task of finding patterns in the image collection, i. e., subsets of organoids that appear similar and potentially represent the same morphological class.
LiGNN: Graph Neural Networks at LinkedIn
In this paper, we present LiGNN, a deployed large-scale Graph Neural Networks (GNNs) Framework.
Correlation Clustering of Bird Sounds
We address the following questions: How accurate is this clustering, compared to a classification of the test set?
Partial Optimality in Cubic Correlation Clustering
The higher-order correlation clustering problem is an expressive model, and recently, local search heuristics have been proposed for several applications.
Structured Prediction Problem Archive
In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a diverse set of problem classes.
Inapproximability of a Pair of Forms Defining a Partial Boolean Function
We consider the problem of jointly minimizing forms of two Boolean functions $f, g \colon \{0, 1\}^J \to \{0, 1\}$ such that $f + g \leq 1$ and so as to separate disjoint sets $A \cup B \subseteq \{0, 1\}^J$ such that $f(A) = \{1\}$ and $g(B) = \{1\}$.
