[ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks"

[ICML 2024] Official implementation for the paper "Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution"

[NeurIPS NCW 2024] Official implementation for the paper "Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling"

Knowledge Synchronized Machine Learning

pathway_analysis_low_dose_radiation_data

Near-Term-Climate-Prediction-BDL

A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing

Dynamics of random pressure fields over bluff bodies: a dynamic mode decomposition perspective

Deep convolutional neural networks for random field uncertainty propagation