Saved in:
| Main Authors: | Zhornyak, Lyra, Forgoston, Eric, Hsieh, M. Ani |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.07157 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring the Dynamics of Lotka-Volterra Systems: Efficiency, Extinction Order, and Predictive Machine Learning
by: Vafaie, Sepideh, et al.
Published: (2024)
by: Vafaie, Sepideh, et al.
Published: (2024)
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
by: Shaffer, Benjamin D., et al.
Published: (2026)
by: Shaffer, Benjamin D., et al.
Published: (2026)
Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
by: Chee, Kong Yao, et al.
Published: (2024)
by: Chee, Kong Yao, et al.
Published: (2024)
Online Adaptation for Flying Quadrotors in Tight Formations
by: Hsieh, Pei-An, et al.
Published: (2025)
by: Hsieh, Pei-An, et al.
Published: (2025)
Spectrally Informed Learning of Fluid Flows
by: Shaffer, Benjamin D., et al.
Published: (2024)
by: Shaffer, Benjamin D., et al.
Published: (2024)
Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory
by: Cirrincione, Giansalvo, et al.
Published: (2026)
by: Cirrincione, Giansalvo, et al.
Published: (2026)
Structure-Preserving Gaussian Processes Via Discrete Euler-Lagrange Equations
by: Ewering, Jan-Hendrik, et al.
Published: (2026)
by: Ewering, Jan-Hendrik, et al.
Published: (2026)
Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
by: Shaffer, Benjamin, et al.
Published: (2025)
by: Shaffer, Benjamin, et al.
Published: (2025)
Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots
by: Jiahao, Tom Z., et al.
Published: (2024)
by: Jiahao, Tom Z., et al.
Published: (2024)
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
by: Yang, Zewen, et al.
Published: (2024)
by: Yang, Zewen, et al.
Published: (2024)
STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow Matching
by: Kotecha, Prakrut, et al.
Published: (2026)
by: Kotecha, Prakrut, et al.
Published: (2026)
KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
by: Li, Alice Kate, et al.
Published: (2025)
by: Li, Alice Kate, et al.
Published: (2025)
A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds
by: Shaffer, Benjamin D., et al.
Published: (2026)
by: Shaffer, Benjamin D., et al.
Published: (2026)
CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
by: Ji, Ethan, et al.
Published: (2025)
by: Ji, Ethan, et al.
Published: (2025)
Physics-informed sensor coverage through structure preserving machine learning
by: Shaffer, Benjamin David, et al.
Published: (2025)
by: Shaffer, Benjamin David, et al.
Published: (2025)
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE
by: Zhang, Siwen, et al.
Published: (2025)
by: Zhang, Siwen, et al.
Published: (2025)
Distributional Off-policy Evaluation with Bellman Residual Minimization
by: Hong, Sungee, et al.
Published: (2024)
by: Hong, Sungee, et al.
Published: (2024)
Hierarchical Inference and Closure Learning via Adaptive Surrogates for ODEs and PDEs
by: Zhang, Pengyu, et al.
Published: (2026)
by: Zhang, Pengyu, et al.
Published: (2026)
Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence
by: Lee, Donghwan, et al.
Published: (2026)
by: Lee, Donghwan, et al.
Published: (2026)
Music Generation using Human-In-The-Loop Reinforcement Learning
by: Justus, Aju Ani
Published: (2025)
by: Justus, Aju Ani
Published: (2025)
Poseidon: Efficient Foundation Models for PDEs
by: Herde, Maximilian, et al.
Published: (2024)
by: Herde, Maximilian, et al.
Published: (2024)
Causality and Bayesian network PDEs for multiscale representations of porous media
by: Um, Kimoon, et al.
Published: (2019)
by: Um, Kimoon, et al.
Published: (2019)
Learning to Solve PDEs on Neural Shape Representations
by: Welschinger, Lilian, et al.
Published: (2025)
by: Welschinger, Lilian, et al.
Published: (2025)
Learning solution operators of PDEs defined on varying domains via MIONet
by: Xiao, Shanshan, et al.
Published: (2024)
by: Xiao, Shanshan, et al.
Published: (2024)
Model Selection for Inverse Reinforcement Learning via Structural Risk Minimization
by: Qu, Chendi, et al.
Published: (2023)
by: Qu, Chendi, et al.
Published: (2023)
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
by: Kong, Lingjing, et al.
Published: (2025)
by: Kong, Lingjing, et al.
Published: (2025)
L3Ms -- Lagrange Large Language Models
by: Dhillon, Guneet S., et al.
Published: (2024)
by: Dhillon, Guneet S., et al.
Published: (2024)
Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
by: Daskin, Ammar
Published: (2026)
by: Daskin, Ammar
Published: (2026)
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
by: Dashtbayaz, Nima Hosseini, et al.
Published: (2025)
by: Dashtbayaz, Nima Hosseini, et al.
Published: (2025)
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations
by: Dashtbayaz, Nima Hosseini, et al.
Published: (2024)
by: Dashtbayaz, Nima Hosseini, et al.
Published: (2024)
Meta-Learned Basis Adaptation for Parametric Linear PDEs
by: Dwivedi, Vikas, et al.
Published: (2026)
by: Dwivedi, Vikas, et al.
Published: (2026)
Active Learning with Selective Time-Step Acquisition for PDEs
by: Kim, Yegon, et al.
Published: (2025)
by: Kim, Yegon, et al.
Published: (2025)
Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning
by: Liu, Qiang, et al.
Published: (2026)
by: Liu, Qiang, et al.
Published: (2026)
Learning Relativistic Geodesics and Chaotic Dynamics via Stabilized Lagrangian Neural Networks
by: Hamzaogullari, Abdullah Umut, et al.
Published: (2026)
by: Hamzaogullari, Abdullah Umut, et al.
Published: (2026)
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
by: Viswanath, Hrishikesh, et al.
Published: (2024)
by: Viswanath, Hrishikesh, et al.
Published: (2024)
Solving PDEs on Unknown Manifolds with Machine Learning
by: Liang, Senwei, et al.
Published: (2021)
by: Liang, Senwei, et al.
Published: (2021)
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
by: Zhang, Rui, et al.
Published: (2023)
by: Zhang, Rui, et al.
Published: (2023)
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
by: Xia, Wenhan, et al.
Published: (2024)
by: Xia, Wenhan, et al.
Published: (2024)
Contraction-Aligned Analysis of Soft Bellman Residual Minimization with Weighted Lp-Norm for Markov Decision Problem
by: Yang, Hyukjun, et al.
Published: (2026)
by: Yang, Hyukjun, et al.
Published: (2026)
Data-Driven Discovery of PDEs via the Adjoint Method
by: Sadr, Mohsen, et al.
Published: (2024)
by: Sadr, Mohsen, et al.
Published: (2024)
Similar Items
-
Exploring the Dynamics of Lotka-Volterra Systems: Efficiency, Extinction Order, and Predictive Machine Learning
by: Vafaie, Sepideh, et al.
Published: (2024) -
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
by: Shaffer, Benjamin D., et al.
Published: (2026) -
Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
by: Chee, Kong Yao, et al.
Published: (2024) -
Online Adaptation for Flying Quadrotors in Tight Formations
by: Hsieh, Pei-An, et al.
Published: (2025) -
Spectrally Informed Learning of Fluid Flows
by: Shaffer, Benjamin D., et al.
Published: (2024)