2 papers
cs.LG2026
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
Benjy Friedmann, Nadav Dym
Recent advances in Neural Combinatorial Optimization (NCO) have been dominated by diffusion models that treat the Euclidean Traveling Salesman Problem (TSP) as a stochastic $N \tim…
cs.CV2025
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Benjy Friedmann, Michael Werman
Point cloud processing poses two fundamental challenges: establishing consistent point ordering and effectively learning fine-grained geometric features. Current architectures rely…