ICLR 2024 Workshop AI4DiffEqtnsInSci Submissions

Extension of Physics-informed Neural Networks to Solving Parameterized PDEs
Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas Sakhinana, Venkataramana Runkana
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Minimizing Structural Vibrations via Guided Diffusion Design Optimization
Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Heteroscedastic uncertainty quantification in Physics-Informed Neural Networks
Olivier Claessen, Yuliya Shapovalova, Tom Heskes
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Latent Diffusion Transformer with Local Neural Field as PDE Surrogate Model
Louis Serrano, Jean-Noël Vittaut, patrick gallinari
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
RBF-PINN: NON-FOURIER POSITIONAL EMBEDDING IN PHYSICS-INFORMED NEURAL NETWORKS
chengxi zeng, Tilo Burghardt, Alberto M Gambaruto
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
XDDPM: EXPLAINABLE DENOISING DIFFUSION PROB- ABILISTIC MODEL FOR SCIENTIFIC MODELING
Qianru Zhang, Chenglei Yu, Yudong Yan, Xiangyu Kuang, Yi Ma, Yuansheng Cao, Siu Ming Yiu, Tailin Wu
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Applications of Fourier Neural Operators in the Ifmif-Dones Accelerator
Guillermo Rodríguez-Llorente, Galo Gallardo Romero, Roberto Gómez-Espinosa Martín
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Mathematical Modeling of Spatio-Temporal Disease Spreading Using PDEs for Machine Learning
Jost Arndt, Jackie Ma
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Application of gauge equivariant convolutional neural networks to learning a fixed point action for SU(3) gauge theory
Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Investigation of Latent Time-Scales in Neural ODE Surrogate Models
Ashish Nair, Shivam Barwey, Pinaki Pal, Romit Maulik
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist
Kai-Hendrik Cohrs, Gherardo Varando, Roger Guimerà, Marta Sales Pardo, Gustau Camps-Valls
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
CLIFFORD NEURAL OPERATORS ON ATMOSPHERIC DATA INFLUENCED PARTIAL DIFFERENTIAL EQUATIONS
Sujit Roy, Wei Ji Leong, Rajat Shinde, Christopher E. Phillips, Ankur Kumar, Manil Maskey, Rahul Ramachandran
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Generative PDE Control
Long Wei, Peiyan Hu, Ruiqi Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Oral
- Readers: Everyone
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes Dynamics
Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Bernie Wang, Andrew Stuart, Michael W. Mahoney
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Approximating Family of Steep Traveling Wave Solutions to Fisher's Equation with PINNs
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C Geiger
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Aditya Grover
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Data-driven Multi-Fidelity Modelling for Time-dependent Partial Differential Equations using Convolutional Neural Networks
Freja Petersen, Allan Peter Engsig-Karup
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations
Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Integrating Kernel Methods and Deep Neural Networks for Solving PDEs
Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids
Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
The conjugate kernel for efficient training of physics-informed deep operator networks
Amanda A Howard, Saad Qadeer, Andrew William Engel, Adam Tsou, Max Vargas, Tony Chiang, Panos Stinis
- Published: 03 Mar 2024, Last Modified: 04 May 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
On Representing Electronic Wave Functions with Sign Equivariant Neural Networks
Nicholas Gao, Stephan Günnemann
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
DOF: Accelerating High-order Differential Operators with Forward Propagation
Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Joint Parameter and Parameterization Inference with Uncertainty Quantification Through Differentiable Programming
Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine
- Published: 03 Mar 2024, Last Modified: 30 Apr 2024
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone