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Arthur Bizzi

3 accepted papers

2025

FLOWING: Implicit Neural Flows for Structure-Preserving Morphing

NeurIPS 2025poster

Morphing is a long-standing problem in vision and computer graphics, requir- ing a time-dependent warping for feature alignment and a blending for smooth interpolation. Recently, multilayer perceptrons (MLPs) have been explored as implicit neural representations (INRs) for modeling such deformations…

Cited by 0SourcecodeScholar
2025

Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure

AAAI 2025technical

We introduce Neural Conjugate Flows (NCF), a class of neural-network architectures equipped with exact flow structure. By leveraging topological conjugation, we prove that these networks are not only naturally isomorphic to a continuous group, but are also universal approximators for flows of ordina…

2025

Neuro-Spectral Architectures for Causal Physics-Informed Networks

NeurIPS 2025poster

Physics-Informed Neural Networks (PINNs) have emerged as a powerful frame- work for solving partial differential equations (PDEs). However, standard MLP- based PINNs often fail to converge when dealing with complex initial value problems, leading to solutions that violate causality and suffer from a…

Cited by 0SourcecodeScholar