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cs.LG2025
Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
Etienne Zeudong, Elsa Cardoso-Bihlo, Alex Bihlo
HyperDeepONets were introduced in Lee, Cho and Hwang [ICLR, 2023] as an alternative architecture for operator learning, in which a hypernetwork generates the weights for the trunk…
cs.LG2025
ForeCite: Adapting Pre-Trained Language Models to Predict Future Citation Rates of Academic Papers
Gavin Hull, Alex Bihlo
Predicting the future citation rates of academic papers is an important step toward the automation of research evaluation and the acceleration of scientific progress. We present $\…
cs.LG2023
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems
Elsa Cardoso-Bihlo, Alex Bihlo
We introduce a method for training exactly conservative physics-informed neural networks and physics-informed deep operator networks for dynamical systems. The method employs a pro…