Physics and Data Driven Transformer-Mamba Framework for Flow Field
cs.LG
Submitted: 2026-09-24
Updated: 2026-09-24
Terminology
Sources
- Fourier Neural Operator for Parametric Partial Differential Equations
- Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
- U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
- VM-UNet: Vision Mamba UNet for Medical Image Segmentation
- Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks