Cover Image

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu-Schiaffini, Miguel, Singer, Clare E., Kovachki, Nikola, Leung, Sze Chai, Bae, Hyunji Jane, Azizzadenesheli, Kamyar, Anandkumar, Anima
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Dynamical Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Operators for Accelerating Scientific Simulations and Design
by: Azizzadenesheli, Kamyar, et al.
Published: (2023)

Neural Operator: Learning Maps Between Function Spaces
by: Kovachki, Nikola, et al.
Published: (2021)

Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
by: Zhao, Zelin, et al.
Published: (2025)

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
by: Berner, Julius, et al.
Published: (2025)

Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024)

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
by: Ma, Ziqi, et al.
Published: (2024)

Consistency requirement of data-driven subgrid-scale modeling in large-eddy simulation
by: Huang, Xinyi, et al.
Published: (2025)

Neural Operators with Localized Integral and Differential Kernels
by: Liu-Schiaffini, Miguel, et al.
Published: (2024)

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
by: Tu, Renbo, et al.
Published: (2023)

A Library for Learning Neural Operators
by: Kossaifi, Jean, et al.
Published: (2024)

Geometric Operator Learning with Optimal Transport
by: Li, Xinyi, et al.
Published: (2025)

Guided Diffusion Sampling on Function Spaces with Applications to PDEs
by: Yao, Jiachen, et al.
Published: (2025)

Score-based Diffusion Models in Function Space
by: Lim, Jae Hyun, et al.
Published: (2023)

Operator Learning for Smoothing and Forecasting
by: Calvello, Edoardo, et al.
Published: (2026)

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory
by: Pan, Runtong, et al.
Published: (2025)

Scale-Consistent Learning for Partial Differential Equations
by: Li, Zongyi, et al.
Published: (2025)

Memorization and Regularization in Generative Diffusion Models
by: Baptista, Ricardo, et al.
Published: (2025)

Illusions of Criticality: Crises Without Tipping Points
by: Troude, Virgile, et al.
Published: (2024)

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
by: Ishfaq, Haque, et al.
Published: (2023)

Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)

Data-Driven Forecasting of High-Dimensional Transient and Stationary Processes via Space-Time Projection
by: Schmidt, Oliver T.
Published: (2025)

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)
by: Leung, Sze Chai, et al.
Published: (2025)

Estimating the Resilience of Non-Stationary Systems
by: Smith, Taylor, et al.
Published: (2026)

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
by: O'Connell, Michael, et al.
Published: (2022)

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
by: Wang, Jiayun, et al.
Published: (2025)

Functional Linear Regression of Cumulative Distribution Functions
by: Zhang, Qian, et al.
Published: (2022)

Anticipating Tipping Points for Disordered Traffic: Critical Slowing Down on the Onset of Congestion
by: Chattopadhyay, Shankha Narayan, et al.
Published: (2024)

Local Trajectory Variation Exponent (LTVE) for Visualizing Dynamical Systems
by: Tsai, Yun Chen, et al.
Published: (2024)

Reachability-based Approach to Point-to-Point Steering Problem
by: Bae, Juho, et al.
Published: (2025)

Enabling Automatic Differentiation with Mollified Graph Neural Operators
by: Lin, Ryan Y., et al.
Published: (2025)

Tipping mechanisms in a carbon cycle model
by: Slyman, Katherine, et al.
Published: (2024)

Wall Modeling of Turbulent Flows with Varying Pressure Gradients Using Multi-Agent Reinforcement Learning
by: Zhou, Di, et al.
Published: (2023)

Sensitivity analysis of wall-modeled large-eddy simulation for separated turbulent flow
by: Zhou, Di, et al.
Published: (2023)

Controlling Tip Vortices and Cavitation through Tip Permeability for Tidal Turbines
by: Liu, Yabin, et al.
Published: (2024)

Active Control of Flow over Rotating Cylinder by Multiple Jets using Deep Reinforcement Learning
by: Dobakhti, Kamyar, et al.
Published: (2023)

On Almost periodicity and minimality for semiflows
by: Auslander, Joseph, et al.
Published: (2020)

Some relations in topological dynamics
by: Auslander, Joseph, et al.
Published: (2024)

Patterns of Non-Stationary Solutions to Symmetric Systems of Second-Order Differential Equations
by: Ghanem, Ziad
Published: (2024)

Tipping resonance in a chaotically forced ice age model
by: Quinn, Courtney, et al.
Published: (2026)

Transient growth and nonlinear breakdown of wavelet-based resolvent modes in turbulent channel flow
by: Ballouz, Eric, et al.
Published: (2025)