239 citations
- Cornell UniversityUS6 papers
- Brookhaven National LaboratoryUS4 papers
- Rutgers, The State University of New JerseyUS4 papers
- United States Air Force Research LaboratoryUS4 papers
- University of WashingtonUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- Princeton UniversityUS3 papers
- University of California San DiegoUS3 papers
- University of Central FloridaUS3 papers
- University of OxfordGB3 papers
- University of VirginiaUS3 papers
- Apple (Israel)IL2 papers
11 papers · 1 filter
Graphs with prescribed radius, diameter, and center
Kelly Guest, Andrew Johnson, Peter Johnson +3
Among other things, it is shown that for every pair of positive integers , , satisfying , and every finite simple graph there is a connected graph with…
Critical Learning Periods in Federated Learning
Gang Yan, Hao Wang, Jian Li
Federated learning (FL) is a popular technique to train machine learning (ML) models with decentralized data. Extensive works have studied the performance of the global model; howe…
Superconducting properties of MoTe from the anisotropic Migdal-Eliashberg theory
Hari Paudyal, Samuel Poncé, Feliciano Giustino +1
Molybdenum ditelluride (MoTe) is attracting considerable interest since it is the archetypal type-II Weyl semimetal and a candidate for topological superconductivity. We invest…
Learning Oculomotor Behaviors from Scanpath
Beibin Li, Nicholas Nuechterlein, Erin Barney +9
Identifying oculomotor behaviors relevant for eye-tracking applications is a critical but often challenging task. Aiming to automatically learn and extract knowledge from existing…
A strong equivariant deformation retraction from the homeomorphism group of the projective plane to the special orthogonal group
Michael Gene Dobbins
This is the third paper in a series on oriented matroids and Grassmannians. We construct a -equivariant strong deformation retraction from the hom…
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning
Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang
Robots frequently need to perceive object attributes, such as "red," "heavy," and "empty," using multimodal exploratory actions, such as "look," "lift," and "shake." Robot attribut…