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Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
We study the problem of constructing Steiner Minimal Trees (SMTs) in hyperbolic space. Exact SMT computation is NP-hard, and existing …
Aniss Aiman Medbouhi, Alejandro García-Castellanos, Giovanni Luca Marchetti, Daniel Pelt, Erik J. Bekkers, Danica Kragic
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Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
Symmetry-Aware Fully-Amortized Optimization with Scale Equivariant Graph Metanetworks
Amortized optimization accelerates the solution of related optimization problems by learning mappings that exploit shared structure …
Bart Kuipers, Freek Byrman, Daniel Uyterlinde, Alejandro García-Castellanos
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Symmetry-Aware Fully-Amortized Optimization with Scale Equivariant Graph Metanetworks
Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization
Neural network parameterizations exhibit inherent symmetries that yield multiple equivalent minima within the loss landscape. Scale …
Odysseas Boufalis, Jorge Carrasco-Pollo, Joshua Rosenthal, Eduardo Terres-Caballero, Alejandro Garcı́a-Castellanos
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Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization