Operator Learning with Neural Fields: Tackling PDEs on General Geometries Paper • 2306.07266 • Published Jun 12, 2023 • 1
ENMA: Tokenwise Autoregression for Generative Neural PDE Operators Paper • 2506.06158 • Published Dec 11, 2025 • 1
Efficient Generative Transformer Operators For Million-Point PDEs Paper • 2512.04974 • Published Dec 4, 2025 • 1
Efficient Generative Transformer Operators For Million-Point PDEs Paper • 2512.04974 • Published Dec 4, 2025 • 1
ENMA: Tokenwise Autoregression for Generative Neural PDE Operators Paper • 2506.06158 • Published Dec 11, 2025 • 1
The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations Paper • 2601.14944 • Published Apr 20 • 6
Boosting Visual Instruction Tuning with Self-Supervised Guidance Paper • 2604.12966 • Published Apr 14 • 11
DIP: Unsupervised Dense In-Context Post-training of Visual Representations Paper • 2506.18463 • Published Jun 23, 2025 • 21
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Paper • 2306.07266 • Published Jun 12, 2023 • 1
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods Paper • 2410.06820 • Published Oct 9, 2024
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods Paper • 2410.06820 • Published Oct 9, 2024 • 1