Ambient Physics: Training Neural PDE Solvers with Partial Observations
Fuente:
arXiv
Saved in:
| Main Authors: | Majid, Harris Abdul, Daras, Giannis, Tudisco, Francesco, McDonagh, Steven |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Ambient Diffusion Omni: Training Good Models with Bad Data
by: Daras, Giannis, et al.
Published: (2025)
by: Daras, Giannis, et al.
Published: (2025)
Causal Ordering for Structure Learning from Time Series
by: Sanchez, Pedro P., et al.
Published: (2025)
by: Sanchez, Pedro P., et al.
Published: (2025)
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
by: Aali, Asad, et al.
Published: (2024)
by: Aali, Asad, et al.
Published: (2024)
Ambient Dataloops: Generative Models for Dataset Refinement
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2026)
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2026)
Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers
by: Lu, Jinming, et al.
Published: (2025)
by: Lu, Jinming, et al.
Published: (2025)
Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
by: Zhang, Andi, et al.
Published: (2025)
by: Zhang, Andi, et al.
Published: (2025)
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
by: Xue, Yuyang, et al.
Published: (2024)
by: Xue, Yuyang, et al.
Published: (2024)
Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)
by: Li, Zijie, et al.
Published: (2025)
Are We Measuring Oversmoothing in Graph Neural Networks Correctly?
by: Zhang, Kaicheng, et al.
Published: (2025)
by: Zhang, Kaicheng, et al.
Published: (2025)
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
by: Li, Zhonghao, et al.
Published: (2026)
by: Li, Zhonghao, et al.
Published: (2026)
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers
by: Kapoor, Taniya, et al.
Published: (2025)
by: Kapoor, Taniya, et al.
Published: (2025)
GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
by: Koupaï, Armand Kassaï, et al.
Published: (2024)
by: Koupaï, Armand Kassaï, et al.
Published: (2024)
Low-Rank Compression of Language Models via Differentiable Rank Selection
by: Sundrani, Sidhant, et al.
Published: (2025)
by: Sundrani, Sidhant, et al.
Published: (2025)
einspace: Searching for Neural Architectures from Fundamental Operations
by: Ericsson, Linus, et al.
Published: (2024)
by: Ericsson, Linus, et al.
Published: (2024)
Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinations
by: Singha, Mainak
Published: (2025)
by: Singha, Mainak
Published: (2025)
Better Neural PDE Solvers Through Data-Free Mesh Movers
by: Hu, Peiyan, et al.
Published: (2023)
by: Hu, Peiyan, et al.
Published: (2023)
DiffusionPDE: Generative PDE-Solving Under Partial Observation
by: Huang, Jiahe, et al.
Published: (2024)
by: Huang, Jiahe, et al.
Published: (2024)
DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization
by: Hosseintabar, Danial, et al.
Published: (2025)
by: Hosseintabar, Danial, et al.
Published: (2025)
Active Learning for Neural PDE Solvers
by: Musekamp, Daniel, et al.
Published: (2024)
by: Musekamp, Daniel, et al.
Published: (2024)
CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
by: Xue, Yuyang, et al.
Published: (2025)
by: Xue, Yuyang, et al.
Published: (2025)
Low-Rank Adversarial PGD Attack
by: Savostianova, Dayana, et al.
Published: (2024)
by: Savostianova, Dayana, et al.
Published: (2024)
Solaris: A Foundation Model of the Sun
by: Majid, Harris Abdul, et al.
Published: (2024)
by: Majid, Harris Abdul, et al.
Published: (2024)
Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
Beyond Pixel Histories: World Models with Persistent 3D State
by: Garcin, Samuel, et al.
Published: (2026)
by: Garcin, Samuel, et al.
Published: (2026)
Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
by: Sittoni, Pietro, et al.
Published: (2026)
by: Sittoni, Pietro, et al.
Published: (2026)
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
by: Horie, Masanobu, et al.
Published: (2024)
by: Horie, Masanobu, et al.
Published: (2024)
Evolutionary Architecture Search through Grammar-Based Sequence Alignment
by: Martín, Adri Gómez, et al.
Published: (2025)
by: Martín, Adri Gómez, et al.
Published: (2025)
Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
by: Sankaran, Shyam, et al.
Published: (2026)
by: Sankaran, Shyam, et al.
Published: (2026)
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
by: Li, Zijie, et al.
Published: (2024)
by: Li, Zijie, et al.
Published: (2024)
NPSolver: Neural Poisson Solver with Iterative Physics Supervision
by: Zeng, Bocheng, et al.
Published: (2026)
by: Zeng, Bocheng, et al.
Published: (2026)
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
by: Li, Shanda, et al.
Published: (2025)
by: Li, Shanda, et al.
Published: (2025)
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Robust low-rank training via approximate orthonormal constraints
by: Savostianova, Dayana, et al.
Published: (2023)
by: Savostianova, Dayana, et al.
Published: (2023)
Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation
by: Fabbri, Francesco, et al.
Published: (2025)
by: Fabbri, Francesco, et al.
Published: (2025)
Noisy PDE Training Requires Bigger PINNs
by: Andre-Sloan, Sebastien, et al.
Published: (2025)
by: Andre-Sloan, Sebastien, et al.
Published: (2025)
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
by: Feng, Xiaodong, et al.
Published: (2025)
by: Feng, Xiaodong, et al.
Published: (2025)
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
by: Wang, Andrew, et al.
Published: (2025)
by: Wang, Andrew, et al.
Published: (2025)
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
by: Hou, Jingren, et al.
Published: (2026)
by: Hou, Jingren, et al.
Published: (2026)
Similar Items
-
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
by: Daras, Giannis, et al.
Published: (2024) -
Ambient Diffusion Omni: Training Good Models with Bad Data
by: Daras, Giannis, et al.
Published: (2025) -
Causal Ordering for Structure Learning from Time Series
by: Sanchez, Pedro P., et al.
Published: (2025) -
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
by: Aali, Asad, et al.
Published: (2024) -
Ambient Dataloops: Generative Models for Dataset Refinement
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2026)