HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions

NeurIPSSpotlight2025

Authors
Rafael Bischof, Michal Piovarci, Michael Anton Kraus, Siddhartha Mishra, Bernd Bickel
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

We present HyPINO, a multi-physics neural operator designed for zero-shot generalization across a broad class of PDEs without requiring task-specific fine-tuning…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

generalization fine-tuning zero-shot physics

← All NeurIPS 2025 Spotlight papers · Browse the whole archive