2 papers
cs.LG2025
Dynamical Implicit Neural Representations
Yesom Park, Kelvin Kan, Thomas Flynn +4
Implicit Neural Representations (INRs) provide a powerful continuous framework for modeling complex visual and geometric signals, but spectral bias remains a fundamental challenge,…
math.OC2025
Problem-dependent convergence bounds for randomized linear gradient compression
Thomas Flynn, Patrick Johnstone, Shinjae Yoo
In distributed optimization, the communication of model updates can be a performance bottleneck. Consequently, gradient compression has been proposed as a means of increasing optim…