ICLR 2024 Workshop AI4DiffEqtnsInSci Submissions

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Neural Context Flows for Learning Generalizable Dynamical Systems
Roussel Desmond Nzoyem, David A.W. Barton, Tom Deakin
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
On training Physics-Informed Neural Networks for Oscillating Problems
Martin Hofmann-Wellenhof, Alexander Fuchs, Franz Pernkopf
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Traversing Chemical Space with Latent Potential Flows
Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Neural Parameter Regression for Explicit Representations of PDE Solution Operators
Konrad Mundinger, Max Zimmer, Sebastian Pokutta
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
PINA: a PyTorch Framework for Solving Differential Equations by Deep Learning for Research and Production Environments
Dario Coscia, Nicola Demo, Gianluigi Rozza
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
MultiSTOP: Solving Functional Equations with Reinforcement Learning
Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Zhiwei Fang, Sifan Wang, Paris Perdikaris
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Optimizing Computationally-Intensive Simulations Using a Biologically-Inspired Acquisition Function and a Fourier Neural Operator Surrogate
John P. Lins, Wei Liu
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Investigation of Numerical Diffusion in Aerodynamic Flow Simulations with Physics Informed Neural Networks
Alok Warey, Taeyoung Han, Shailendra Kaushik
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
Bálint Máté, François Fleuret
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
A PHYSICS-INFORMED NEURAL NETWORK FOR COUPLED CALCIUM DYNAMICS IN A CABLE NEURON
Zachary M. Miksis, Gillian Queisser
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone