2 papers
cs.LG2026
An Invariant Compiler for Neural ODEs in AI-Accelerated Scientific Simulation
Fangzhou Yu, Yiqi Su, Ray Lee +2
Neural ODEs are increasingly used as continuous-time models for scientific and sensor data, but unconstrained neural ODEs can drift and violate domain invariants (e.g., conservatio…
quant-ph2023
Quantum Machine Learning: from physics to software engineering
Alexey Melnikov, Mohammad Kordzanganeh, Alexander Alodjants +1
Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key a…