Imagen de Portada

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Ruikun, Wang, Huandong, Ding, Jingtao, Yuan, Yuan, Liao, Qingmin, Li, Yong
Formato:	Preprint
Publicado:	2025
Materias:	Computational Engineering, Finance, and Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
por: Li, Ruikun, et al.
Publicado: (2025)

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder
por: Li, Ruikun, et al.
Publicado: (2025)

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
por: Li, Ruikun, et al.
Publicado: (2025)

Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching
por: Zhou, Shihe, et al.
Publicado: (2025)

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems
por: Liu, Jiazhen, et al.
Publicado: (2025)

Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
por: Cheng, Jingwen, et al.
Publicado: (2025)

Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation
por: Huang, Shiluo, et al.
Publicado: (2024)

Pixel2Phys: Distilling Governing Laws from Visual Dynamics
por: Li, Ruikun, et al.
Publicado: (2026)

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data
por: Li, Ruikun, et al.
Publicado: (2025)

Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification
por: Xu, Chen, et al.
Publicado: (2025)

Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
por: Li, Ruoyan, et al.
Publicado: (2025)

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
por: Chen, Zijun, et al.
Publicado: (2024)

Finetuning Large Language Model as an Effective Symbolic Regressor
por: Hua, Yingfan, et al.
Publicado: (2025)

A 99-Line Homogenization Code for Lattice-skin Plate Structures
por: Ji, Zhongkai, et al.
Publicado: (2026)

Data Fusion for Full-Range Response Reconstruction via Diffusion Models
por: Feng, Wingho, et al.
Publicado: (2025)

Deep peak property learning for efficient chiral molecules ECD spectra prediction
por: Li, Hao, et al.
Publicado: (2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting
por: Yang, Jiarui, et al.
Publicado: (2024)

LiveFigure: Generating Editable Scientific Illustration with VLM Agents
por: Shao, Chenyang, et al.
Publicado: (2026)

Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
por: Liao, Qionghua, et al.
Publicado: (2024)

A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
por: Xu, Chen, et al.
Publicado: (2023)

Training Diffusion Language Models for Black-Box Optimization
por: Sun, Zipeng, et al.
Publicado: (2026)

Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation
por: Ali, Mohammad, et al.
Publicado: (2025)

SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation
por: Li, Qi, et al.
Publicado: (2025)

SR-DEM: an efficient discrete element method for particles with surface of revolution
por: Yuan, Fei-Liang
Publicado: (2022)

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding
por: Liu, Pengwei, et al.
Publicado: (2025)

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding
por: Lv, Liuzhenghao, et al.
Publicado: (2024)

Molecular Dynamics Simulations Reveal PolyQ-Length-Dependent Conformational Changes in Huntingtin Exon-1: Implications for Environmental Co-Solvent Modulation of Aggregation-Prone States
por: Geddes-Nelson, Jai, et al.
Publicado: (2026)

Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
por: Cheng, Qishuo
Publicado: (2024)

Generating Synthetic Genotypes using Diffusion Models
por: Kenneweg, Philip, et al.
Publicado: (2024)

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
por: Wang, Yuan, et al.
Publicado: (2025)

Surface profile recovery from electromagnetic field with physics--informed neural networks
por: Chen, Yuxuan, et al.
Publicado: (2024)

$i$MIND: Insightful Multi-subject Invariant Neural Decoding
por: Yin, Zixiang, et al.
Publicado: (2025)

RoadFed: A Multimodal Federated Learning System for Improving Road Safety
por: Yuan, Yachao, et al.
Publicado: (2025)

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
por: Zhao, Jiachi, et al.
Publicado: (2025)

Constructing Boundary-identical Microstructures via Guided Diffusion for Fast Multiscale Topology Optimization
por: Feng, Jingxuan, et al.
Publicado: (2024)

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning
por: Liu, Jiayu, et al.
Publicado: (2024)

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine
por: Zhang, Jiaxun, et al.
Publicado: (2025)

Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
por: Zheng, Li, et al.
Publicado: (2023)

Physical regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
por: Chen, Qiyuan, et al.
Publicado: (2025)

InvariantStock: Learning Invariant Features for Mastering the Shifting Market
por: Cao, Haiyao, et al.
Publicado: (2024)