Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Qiang, Koehler, Felix, Holzschuh, Benjamin, Thuerey, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
by: Liu, Qiang, et al.
Published: (2024)
by: Liu, Qiang, et al.
Published: (2024)
CRAFT: Conflict-Resolved Aggregation for Federated Training
by: Wang, Ziqi, et al.
Published: (2026)
by: Wang, Ziqi, et al.
Published: (2026)
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
by: Koehler, Felix, et al.
Published: (2025)
by: Koehler, Felix, et al.
Published: (2025)
Autoencoded UMAP-Enhanced Clustering for Unsupervised Learning
by: Chavooshi, Malihehsadat, et al.
Published: (2025)
by: Chavooshi, Malihehsadat, et al.
Published: (2025)
BP(λ): Online Learning via Synthetic Gradients
by: Pemberton, Joseph, et al.
Published: (2024)
by: Pemberton, Joseph, et al.
Published: (2024)
Multi-modal Transfer Learning between Biological Foundation Models
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
Flow Matching for Posterior Inference with Simulator Feedback
by: Holzschuh, Benjamin, et al.
Published: (2024)
by: Holzschuh, Benjamin, et al.
Published: (2024)
SplInterp: Improving our Understanding and Training of Sparse Autoencoders
by: Budd, Jeremy, et al.
Published: (2025)
by: Budd, Jeremy, et al.
Published: (2025)
FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis
by: Sk., Md. Sajeebul Islam, et al.
Published: (2025)
by: Sk., Md. Sajeebul Islam, et al.
Published: (2025)
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
by: Liu, Qiang, et al.
Published: (2023)
by: Liu, Qiang, et al.
Published: (2023)
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
by: Qin, Zhou, et al.
Published: (2024)
by: Qin, Zhou, et al.
Published: (2024)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)
by: Bastounis, Alexander, et al.
Published: (2023)
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
by: Frees, Daniel, et al.
Published: (2024)
by: Frees, Daniel, et al.
Published: (2024)
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
by: Holzschuh, Benjamin, et al.
Published: (2025)
by: Holzschuh, Benjamin, et al.
Published: (2025)
Feature Learning Beyond the Edge of Stability
by: Terjék, Dávid
Published: (2025)
by: Terjék, Dávid
Published: (2025)
Markov Chain Estimation with In-Context Learning
by: Lepage, Simon, et al.
Published: (2025)
by: Lepage, Simon, et al.
Published: (2025)
Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026)
by: Oursland, Alan
Published: (2026)
Closed-Form Feedback-Free Learning with Forward Projection
by: O'Shea, Robert, et al.
Published: (2025)
by: O'Shea, Robert, et al.
Published: (2025)
P3D: Scalable Neural Surrogates for High-Resolution 3D Physics Simulations with Global Context
by: Holzschuh, Benjamin, et al.
Published: (2025)
by: Holzschuh, Benjamin, et al.
Published: (2025)
A Teacher-Student Perspective on the Dynamics of Learning Near the Optimal Point
by: Couto, Carlos, et al.
Published: (2025)
by: Couto, Carlos, et al.
Published: (2025)
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
by: Tavakoli, Fatemeh, et al.
Published: (2023)
by: Tavakoli, Fatemeh, et al.
Published: (2023)
Improving Fairness and Mitigating MADness in Generative Models
by: Mayer, Paul, et al.
Published: (2024)
by: Mayer, Paul, et al.
Published: (2024)
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
by: Quantiota, Bouarfa Mahi
Published: (2025)
by: Quantiota, Bouarfa Mahi
Published: (2025)
Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
by: Nowacka, Anna, et al.
Published: (2025)
by: Nowacka, Anna, et al.
Published: (2025)
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
by: Ding, Wenhao, et al.
Published: (2025)
by: Ding, Wenhao, et al.
Published: (2025)
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)
by: Pavlov, Gorgi
Published: (2026)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Wave-Attractor-Tree: A Hierarchical Binary Tree Reduction Architecture for Efficient Sequence Modeling
by: Berezkin, Igor
Published: (2026)
by: Berezkin, Igor
Published: (2026)
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
by: Yang, Hong, et al.
Published: (2026)
by: Yang, Hong, et al.
Published: (2026)
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)
by: Brännvall, Rickard, et al.
Published: (2023)
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
by: Koehler, Felix, et al.
Published: (2024)
by: Koehler, Felix, et al.
Published: (2024)
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)
by: Telle, Jan Arne, et al.
Published: (2026)
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
by: Deng, Songgaojun, et al.
Published: (2024)
by: Deng, Songgaojun, et al.
Published: (2024)
Flow matching on homogeneous spaces
by: Ruscelli, Francesco
Published: (2026)
by: Ruscelli, Francesco
Published: (2026)
Training-Free Generative Sampling via Moment-Matched Score Smoothing
by: Yao, Zhenyu, et al.
Published: (2026)
by: Yao, Zhenyu, et al.
Published: (2026)
Generative Design of Ship Propellers using Conditional Flow Matching
by: Kruger, Patrick, et al.
Published: (2026)
by: Kruger, Patrick, et al.
Published: (2026)
TabPFN for Zero-shot Parametric Engineering Design Generation
by: Wang, Ke, et al.
Published: (2026)
by: Wang, Ke, et al.
Published: (2026)
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
by: Castin, Valérie, et al.
Published: (2026)
by: Castin, Valérie, et al.
Published: (2026)
Adynamical systems view of training generativemodels and the memorization phenomenon
by: Athreya, Siva, et al.
Published: (2026)
by: Athreya, Siva, et al.
Published: (2026)
Similar Items
-
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
by: Liu, Qiang, et al.
Published: (2024) -
CRAFT: Conflict-Resolved Aggregation for Federated Training
by: Wang, Ziqi, et al.
Published: (2026) -
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024) -
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
by: Koehler, Felix, et al.
Published: (2025) -
Autoencoded UMAP-Enhanced Clustering for Unsupervised Learning
by: Chavooshi, Malihehsadat, et al.
Published: (2025)