Saved in:
| Main Authors: | Chandra, Anirban, Koch, Marius, Pawar, Suraj, Panda, Aniruddha, Azizzadenesheli, Kamyar, Snippe, Jeroen, Alpak, Faruk O., Hariri, Farah, Etienam, Clement, Devarakota, Pandu, Anandkumar, Anima, Hohl, Detlef |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.11031 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating Porous Media Flow Simulations With Fourier Neural Operators: An Application to Geologic Storage of CO 2
by: Anirban Chandra, et al.
Published: (2025)
by: Anirban Chandra, et al.
Published: (2025)
AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition
by: Devarakota, Pandu, et al.
Published: (2025)
by: Devarakota, Pandu, et al.
Published: (2025)
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
by: Ma, Ziqi, et al.
Published: (2024)
by: Ma, Ziqi, et al.
Published: (2024)
Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024)
by: Sun, Jingtong, et al.
Published: (2024)
Neural Operators with Localized Integral and Differential Kernels
by: Liu-Schiaffini, Miguel, et al.
Published: (2024)
by: Liu-Schiaffini, Miguel, et al.
Published: (2024)
Neural Operators for Accelerating Scientific Simulations and Design
by: Azizzadenesheli, Kamyar, et al.
Published: (2023)
by: Azizzadenesheli, Kamyar, et al.
Published: (2023)
Neural Operator: Learning Maps Between Function Spaces
by: Kovachki, Nikola, et al.
Published: (2021)
by: Kovachki, Nikola, et al.
Published: (2021)
Scale-Consistent Learning for Partial Differential Equations
by: Li, Zongyi, et al.
Published: (2025)
by: Li, Zongyi, et al.
Published: (2025)
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
by: Yao, Jiachen, et al.
Published: (2025)
by: Yao, Jiachen, et al.
Published: (2025)
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
by: Berner, Julius, et al.
Published: (2025)
by: Berner, Julius, et al.
Published: (2025)
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
by: Ishfaq, Haque, et al.
Published: (2023)
by: Ishfaq, Haque, et al.
Published: (2023)
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
by: O'Connell, Michael, et al.
Published: (2022)
by: O'Connell, Michael, et al.
Published: (2022)
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
by: Wang, Jiayun, et al.
Published: (2025)
by: Wang, Jiayun, et al.
Published: (2025)
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
by: Tu, Renbo, et al.
Published: (2023)
by: Tu, Renbo, et al.
Published: (2023)
Enabling Automatic Differentiation with Mollified Graph Neural Operators
by: Lin, Ryan Y., et al.
Published: (2025)
by: Lin, Ryan Y., et al.
Published: (2025)
Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
by: Zhao, Zelin, et al.
Published: (2025)
by: Zhao, Zelin, et al.
Published: (2025)
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
by: Liu-Schiaffini, Miguel, et al.
Published: (2023)
by: Liu-Schiaffini, Miguel, et al.
Published: (2023)
Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)
by: Xu, Minkai, et al.
Published: (2024)
Functional Linear Regression of Cumulative Distribution Functions
by: Zhang, Qian, et al.
Published: (2022)
by: Zhang, Qian, et al.
Published: (2022)
Deep Generative Prior for First Order Inverse Optimization
by: Yang, Haoyu, et al.
Published: (2025)
by: Yang, Haoyu, et al.
Published: (2025)
A Library for Learning Neural Operators
by: Kossaifi, Jean, et al.
Published: (2024)
by: Kossaifi, Jean, et al.
Published: (2024)
Diffusion State-Guided Projected Gradient for Inverse Problems
by: Zirvi, Rayhan, et al.
Published: (2024)
by: Zirvi, Rayhan, et al.
Published: (2024)
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
by: Song, Peiyang, et al.
Published: (2024)
by: Song, Peiyang, et al.
Published: (2024)
Mechanistic Interpretability with Sparse Autoencoder Neural Operators
by: Tolooshams, Bahareh, et al.
Published: (2025)
by: Tolooshams, Bahareh, et al.
Published: (2025)
Fourier Neural Operators Explained: A Practical Perspective
by: Duruisseaux, Valentin, et al.
Published: (2025)
by: Duruisseaux, Valentin, et al.
Published: (2025)
Neural Spline Operators for Risk Quantification in Stochastic Systems
by: Wang, Zhuoyuan, et al.
Published: (2025)
by: Wang, Zhuoyuan, et al.
Published: (2025)
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
by: Rahman, Md Ashiqur, et al.
Published: (2024)
by: Rahman, Md Ashiqur, et al.
Published: (2024)
Physics-Aware Neural Operators for Direct Inversion in 3D Photoacoustic Tomography
by: Wang, Jiayun, et al.
Published: (2025)
by: Wang, Jiayun, et al.
Published: (2025)
Solving Poisson Equations using Neural Walk-on-Spheres
by: Nam, Hong Chul, et al.
Published: (2024)
by: Nam, Hong Chul, et al.
Published: (2024)
Score-based Diffusion Models in Function Space
by: Lim, Jae Hyun, et al.
Published: (2023)
by: Lim, Jae Hyun, et al.
Published: (2023)
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
by: Hariri, Ali, et al.
Published: (2025)
by: Hariri, Ali, et al.
Published: (2025)
Stochastic Process Learning via Operator Flow Matching
by: Shi, Yaozhong, et al.
Published: (2025)
by: Shi, Yaozhong, et al.
Published: (2025)
Mesh-Informed Neural Operator : A Transformer Generative Approach
by: Shi, Yaozhong, et al.
Published: (2025)
by: Shi, Yaozhong, et al.
Published: (2025)
Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations
by: SaraerToosi, Ali, et al.
Published: (2025)
by: SaraerToosi, Ali, et al.
Published: (2025)
Geometric Operator Learning with Optimal Transport
by: Li, Xinyi, et al.
Published: (2025)
by: Li, Xinyi, et al.
Published: (2025)
MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)
by: Zhang, Junyang, et al.
Published: (2025)
Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023)
by: Zheng, Hongkai, et al.
Published: (2023)
Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion
by: Zou, Caifeng, et al.
Published: (2023)
by: Zou, Caifeng, et al.
Published: (2023)
Universal Functional Regression with Neural Operator Flows
by: Shi, Yaozhong, et al.
Published: (2024)
by: Shi, Yaozhong, et al.
Published: (2024)
SPIDER: Scalable Probabilistic Inference for Differential Earthquake Relocation
by: Ross, Zachary E., et al.
Published: (2025)
by: Ross, Zachary E., et al.
Published: (2025)
Similar Items
-
Accelerating Porous Media Flow Simulations With Fourier Neural Operators: An Application to Geologic Storage of CO 2
by: Anirban Chandra, et al.
Published: (2025) -
AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition
by: Devarakota, Pandu, et al.
Published: (2025) -
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
by: Ma, Ziqi, et al.
Published: (2024) -
Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024) -
Neural Operators with Localized Integral and Differential Kernels
by: Liu-Schiaffini, Miguel, et al.
Published: (2024)