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101 papers · 1 filter
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation
Wenbo Dong, Volkan Isler
Convolutional neural network (CNN) based architectures, such as Mask R-CNN, constitute the state of the art in object detection and segmentation. Recently, these methods have been…
The structure of behavioral data
Aurélien Defossez, Morteza Ansarinia, Brice Clocher +3
For more than a century, scientists have been collecting behavioral data--an increasing fraction of which is now being publicly shared so other researchers can reuse them to replic…
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
Andrew Lamperski
Langevin algorithms are gradient descent methods with additive noise. They have been used for decades in Markov chain Monte Carlo (MCMC) sampling, optimization, and learning. Their…
Intensity -- A Metric Approach to Quantifying Attractor Robustness in ODEs
Katherine J. Meyer, Richard P. McGehee
Although mathematical models do not fully match reality, robustness of dynamical objects to perturbation helps bridge from theoretical to real-world dynamical systems. Classical th…
Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders
Sabirat Rubya, Joseph Numainville, Svetlana Yarosh
Targeting the right group of workers for crowdsourcing often achieves better quality results. One unique example of targeted crowdsourcing is seeking community-situated workers who…
Sheaf Neural Networks
Jakob Hansen, Thomas Gebhart
We present a generalization of graph convolutional networks by generalizing the diffusion operation underlying this class of graph neural networks. These sheaf neural networks are…