1 citations · 1 across the 7 of their papers we have counts for
7 papers
A Courcelle-Type Metatheorem for Rank-Bounded Unconstrained Binary Optimization
Marc Harary
We present the first uniform XP exact algorithm for unconstrained binary optimization of quadratic, polynomial, fractional, and other objectives under a single parameter, the diffe…
AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics
Stella Su, Marc Harary, Scott J. Rodig +1
Self-supervised learning (SSL) has emerged as a powerful approach for learning visual representations without manual annotations. However, the robustness of standard SSL methods to…
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion
Marc Harary, Eliezer M. Van Allen, William Lotter
Though multiple instance learning (MIL) has been a foundational strategy in computational pathology for processing whole slide images (WSIs), current approaches are designed for tr…
Combinatorial optimization of the coefficient of determination
Marc Harary
Robust correlation analysis is among the most critical challenges in statistics. Herein, we develop an efficient algorithm for selecting the - subset of points in the plane…
Efficient algorithms for the sensitivities of the Pearson correlation coefficient and its statistical significance to online data
Marc Harary
Reliably measuring the collinearity of bivariate data is crucial in statistics, particularly for time-series analysis or ongoing studies in which incoming observations can signific…
Kirigami: large convolutional kernels improve deep learning-based RNA secondary structure prediction
Marc Harary, Chengxin Zhang
We introduce a novel fully convolutional neural network (FCN) architecture for predicting the secondary structure of ribonucleic acid (RNA) molecules. Interpreting RNA structures a…
SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy
Marc Harary
We introduce Secure Haplotype Imputation Employing Local Differential privacy (SHIELD), a program for accurately estimating the genotype of target samples at markers that are not d…