Copertina

Hierarchical Implicit Neural Emulators

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Ruoxi, Zhang, Xiao, Jakhar, Karan, Lu, Peter Y., Hassanzadeh, Pedram, Maire, Michael, Willett, Rebecca
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Embed and Emulate: Contrastive representations for simulation-based inference
di: Jiang, Ruoxi, et al.
Pubblicazione: (2024)

An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence
di: Jakhar, Karan, et al.
Pubblicazione: (2025)

Nested Diffusion Models Using Hierarchical Latent Priors
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

Training neural operators to preserve invariant measures of chaotic attractors
di: Jiang, Ruoxi, et al.
Pubblicazione: (2023)

Deep Stochastic Mechanics
di: Orlova, Elena, et al.
Pubblicazione: (2023)

Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
di: Jakhar, Karan, et al.
Pubblicazione: (2023)

Accelerating PDE Surrogates via RL-Guided Mesh Optimization
di: Meng, Yang, et al.
Pubblicazione: (2026)

Residual Connections Harm Generative Representation Learning
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
di: Parkinson, Suzanna, et al.
Pubblicazione: (2023)

HyperDiffusionFields (HyDiF): Diffusion-Guided Hypernetworks for Learning Implicit Molecular Neural Fields
di: Babu, Sudarshan, et al.
Pubblicazione: (2025)

Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
di: Chattopadhyay, Ashesh, et al.
Pubblicazione: (2023)

Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
di: Baxter, Ian, et al.
Pubblicazione: (2025)

Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
di: Melo, Gabriel, et al.
Pubblicazione: (2026)

Depth Separation in Norm-Bounded Infinite-Width Neural Networks
di: Parkinson, Suzanna, et al.
Pubblicazione: (2024)

Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
di: Hosseini, Ryien, et al.
Pubblicazione: (2025)

On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed
di: Pahlavan, Hamid A., et al.
Pubblicazione: (2024)

Reframing Generative Models for Physical Systems using Stochastic Interpolants
di: Zhou, Anthony, et al.
Pubblicazione: (2025)

How do simple rotations affect the implicit bias of Adam?
di: DePavia, Adela, et al.
Pubblicazione: (2025)

Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
di: Darman, Moein, et al.
Pubblicazione: (2025)

Integrating Uncertainty Awareness into Conformalized Quantile Regression
di: Rossellini, Raphael, et al.
Pubblicazione: (2023)

Stabilizing black-box model selection with the inflated argmax
di: Adrian, Melissa, et al.
Pubblicazione: (2024)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
di: Laus, Hannah, et al.
Pubblicazione: (2025)

Can AI weather models predict out-of-distribution gray swan tropical cyclones?
di: Sun, Y. Qiang, et al.
Pubblicazione: (2024)

Generalizing PDE Emulation with Equation-Aware Neural Operators
di: Zhu, Qian-Ze, et al.
Pubblicazione: (2025)

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series
di: Rajaei, Pedram, et al.
Pubblicazione: (2025)

A Model-Guided Neural Network Method for the Inverse Scattering Problem
di: Tsang, Olivia, et al.
Pubblicazione: (2025)

On Neural Scaling Laws for Weather Emulation through Continual Training
di: Subramanian, Shashank, et al.
Pubblicazione: (2026)

Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
di: Cheng, Kaihui, et al.
Pubblicazione: (2026)

Implicit Generative Prior for Bayesian Neural Networks
di: Liu, Yijia, et al.
Pubblicazione: (2024)

Building a stable classifier with the inflated argmax
di: Soloff, Jake A., et al.
Pubblicazione: (2024)

Bagging Provides Assumption-free Stability
di: Soloff, Jake A., et al.
Pubblicazione: (2023)

Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
di: Adrian, Melissa, et al.
Pubblicazione: (2026)

Quality Measures for Dynamic Graph Generative Models
di: Hosseini, Ryien, et al.
Pubblicazione: (2025)

APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
di: Koehler, Felix, et al.
Pubblicazione: (2024)

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
di: Chattopadhyay, Ashesh, et al.
Pubblicazione: (2021)

Neural Network Emulator for Atmospheric Chemical ODE
di: Liu, Zhi-Song, et al.
Pubblicazione: (2024)

Factorized Neural Implicit DMD for Parametric Dynamics
di: Chen, Siyuan, et al.
Pubblicazione: (2026)

Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning
di: Guan, Yifei, et al.
Pubblicazione: (2026)

Enforcing Equity in Neural Climate Emulators
di: Yik, William, et al.
Pubblicazione: (2024)

A Neural Material Point Method for Particle-based Emulation
di: Sharabi, Omer Rochman, et al.
Pubblicazione: (2024)