David Eklund

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 16

Top Topics

Geometric Features

Information Geometry

Top Venues

SIAM J. Appl. Algebra Geom.

Adv. Appl. Math.

Publications

David Eklund
The numerical algebraic geometry of bottlenecks. Adv. Appl. Math. 142 (2023)
Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei
Privacy-preserving Federated Learning System for Fatigue Detection. CSR (2023)
Sandra Di Rocco, Parker B. Edwards, David Eklund, Oliver Gäfvert, Jonathan D. Hauenstein
Computing Geometric Feature Sizes for Algebraic Manifolds. SIAM J. Appl. Algebra Geom. 7 (4) (2023)
Han Wang, David Eklund, Alina Oprea, Shahid Raza
FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. ACM Trans. Internet Things 4 (3) (2023)
Han Wang, Luis Muñoz-González, Muhammad Zaid Hameed, David Eklund, Shahid Raza
SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. Comput. Secur. 129 (2023)
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
Identifying latent distances with Finslerian geometry. Trans. Mach. Learn. Res. 2023 (2023)
Sandra Di Rocco, Parker B. Edwards, David Eklund, Oliver Gäfvert, Jonathan D. Hauenstein
Computing geometric feature sizes for algebraic manifolds. CoRR (2022)
Sandra Di Rocco, David Eklund, Oliver Gäfvert
Sampling and homology via bottlenecks. Math. Comput. 91 (338) (2022)
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
Identifying latent distances with Finslerian geometry. CoRR (2022)
Han Wang, Luis Muñoz-González, David Eklund, Shahid Raza
Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. WISEC (2021)
Daniel J. Bates, David Eklund, Jonathan D. Hauenstein, Chris Peterson
Excess intersections and numerical irreducible decompositions. SYNASC (2021)
Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
Variational Autoencoders with Riemannian Brownian Motion Priors. ICML (2020)
Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg
Variational Autoencoders with Riemannian Brownian Motion Priors. CoRR (2020)
Sandra Di Rocco, David Eklund, Madeleine Weinstein
The Bottleneck Degree of Algebraic Varieties. SIAM J. Appl. Algebra Geom. 4 (1) (2020)
David Eklund, Søren Hauberg
Expected path length on random manifolds. CoRR (2019)
Sandra Di Rocco, David Eklund, Chris Peterson
Numerical polar calculus and cohomology of line bundles. Adv. Appl. Math. 100 (2018)
Daniel J. Bates, Brent R. Davis, David Eklund, Eric M. Hanson, Chris Peterson
Perturbed homotopies for finding all isolated solutions of polynomial systems. Appl. Math. Comput. 247 (2014)
Daniel J. Bates, David Eklund, Chris Peterson
Computing intersection numbers of Chern classes. J. Symb. Comput. 50 (2013)
Sandra Di Rocco, David Eklund, Chris Peterson, Andrew J. Sommese
Chern numbers of smooth varieties via homotopy continuation and intersection theory. J. Symb. Comput. 46 (1) (2011)
Sandra Di Rocco, David Eklund, Andrew J. Sommese, Charles W. Wampler
-actions and the inverse kinematics of a general 6R manipulator. Appl. Math. Comput. 216 (9) (2010)