LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Haoran, Xiao, Chenhan, Mai, Lihao, Weng, Yang, Blasch, Erik |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting Power-System Dynamic Trajectories with Foundation Models
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
by: Peng, Wenqing, et al.
Published: (2025)
by: Peng, Wenqing, et al.
Published: (2025)
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)
by: Liu, Peiyuan, et al.
Published: (2024)
Scalable and Reliable State-Aware Inference of High-Impact N-k Contingencies
by: Mai, Lihao, et al.
Published: (2026)
by: Mai, Lihao, et al.
Published: (2026)
A Neural ODE Approach to Aircraft Flight Dynamics Modelling
by: Jarry, Gabriel, et al.
Published: (2025)
by: Jarry, Gabriel, et al.
Published: (2025)
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
by: Huang, Zijie, et al.
Published: (2024)
by: Huang, Zijie, et al.
Published: (2024)
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)
by: Kashyap, Sameera S, et al.
Published: (2024)
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
Unlocking the Potential of Continual Model Merging: An ODE Perspective
by: Lin, Lihong, et al.
Published: (2026)
by: Lin, Lihong, et al.
Published: (2026)
Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
by: Wang, Xiaoyi, et al.
Published: (2026)
by: Wang, Xiaoyi, et al.
Published: (2026)
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
by: Tong, Anh, et al.
Published: (2025)
by: Tong, Anh, et al.
Published: (2025)
On Tuning Neural ODE for Stability, Consistency and Faster Convergence
by: Akhtar, Sheikh Waqas
Published: (2023)
by: Akhtar, Sheikh Waqas
Published: (2023)
From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
by: Han, Chao, et al.
Published: (2026)
by: Han, Chao, et al.
Published: (2026)
Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets
by: Guo, Muhao, et al.
Published: (2025)
by: Guo, Muhao, et al.
Published: (2025)
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples
by: Vouitsis, Noël, et al.
Published: (2024)
by: Vouitsis, Noël, et al.
Published: (2024)
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Liu, Shuze Daniel, et al.
Published: (2024)
by: Liu, Shuze Daniel, et al.
Published: (2024)
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
by: Choi, Jinyoung, et al.
Published: (2025)
by: Choi, Jinyoung, et al.
Published: (2025)
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
by: He, Xinyu, et al.
Published: (2025)
by: He, Xinyu, et al.
Published: (2025)
Latent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics
by: Maurel, Benjamin, et al.
Published: (2026)
by: Maurel, Benjamin, et al.
Published: (2026)
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
by: Liu, Xin, et al.
Published: (2026)
by: Liu, Xin, et al.
Published: (2026)
Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
by: Joy, Usman Gani
Published: (2025)
by: Joy, Usman Gani
Published: (2025)
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
by: Doshi, Vivan
Published: (2025)
by: Doshi, Vivan
Published: (2025)
A study of Universal ODE approaches to predicting soil organic carbon
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems
by: Sun, Yue, et al.
Published: (2026)
by: Sun, Yue, et al.
Published: (2026)
Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025)
by: Naik, Nachiket N., et al.
Published: (2025)
ODE-ViT: Plug & Play Attention Layer from the Generalization of the ViT as an Ordinary Differential Equation
by: Riera, Carlos Boned, et al.
Published: (2025)
by: Riera, Carlos Boned, et al.
Published: (2025)
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
by: Verma, Yogesh, et al.
Published: (2024)
by: Verma, Yogesh, et al.
Published: (2024)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)
by: Kim, Dongjun, et al.
Published: (2023)
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
by: Wan, Guancheng, et al.
Published: (2024)
by: Wan, Guancheng, et al.
Published: (2024)
Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms
by: Lee, Donghwan, et al.
Published: (2024)
by: Lee, Donghwan, et al.
Published: (2024)
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
by: Li, Ao, et al.
Published: (2025)
by: Li, Ao, et al.
Published: (2025)
Neuro-Symbolic ODE Discovery with Latent Grammar Flow
by: Yu, Karin, et al.
Published: (2026)
by: Yu, Karin, et al.
Published: (2026)
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
by: Sidheekh, Sahil, et al.
Published: (2024)
by: Sidheekh, Sahil, et al.
Published: (2024)
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
Geometric and Dynamic Scaling in Deep Transformers
by: Su, Haoran, et al.
Published: (2026)
by: Su, Haoran, et al.
Published: (2026)
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
by: Hashimoto, Koji, et al.
Published: (2024)
by: Hashimoto, Koji, et al.
Published: (2024)
Similar Items
-
Predicting Power-System Dynamic Trajectories with Foundation Models
by: Li, Haoran, et al.
Published: (2026) -
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
by: Li, Haoran, et al.
Published: (2025) -
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
by: Peng, Wenqing, et al.
Published: (2025) -
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024) -
Scalable and Reliable State-Aware Inference of High-Impact N-k Contingencies
by: Mai, Lihao, et al.
Published: (2026)