Cover Image

Learning to Test: Physics-Informed Representation for Dynamical Instability Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Minxing, Deng, Zewei, Xie, Liyan, Zhu, Shixiang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Conformal Prediction with Vectorized Non-Conformity Scores
by: Zheng, Minxing, et al.
Published: (2024)

Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
by: Zhou, Wenbin, et al.
Published: (2026)

Recurrent Neural Goodness-of-Fit Test for Time Series
by: Zhang, Aoran, et al.
Published: (2024)

Sequential Change Point Detection via Denoising Score Matching
by: Zhou, Wenbin, et al.
Published: (2025)

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
by: Deng, Zewei, et al.
Published: (2026)

Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
by: Dong, Zheng, et al.
Published: (2023)

Learning Polyhedral Conformal Sets for Robust Optimization
by: Chen, Shuyi, et al.
Published: (2026)

Uncertainty-Aware Robust Learning on Noisy Graphs
by: Chen, Shuyi, et al.
Published: (2023)

Multivariate Time-series Anomaly Detection via Dynamic Model Pool & Ensembling
by: Hu, Wei, et al.
Published: (2026)

Calibrating Decision Robustness via Inverse Conformal Risk Control
by: Zhou, Wenbin, et al.
Published: (2025)

Counterfactual Fairness through Transforming Data Orthogonal to Bias
by: Chen, Shuyi, et al.
Published: (2024)

Masked Diffusion Modeling for Anomaly Detection
by: Zhang, Lixing, et al.
Published: (2026)

Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
by: Zhou, Wenbin, et al.
Published: (2024)

Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
by: Zhu, Hongjie, et al.
Published: (2025)

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning
by: Xu, Changwen, et al.
Published: (2025)

Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
by: Cui, Ziyao, et al.
Published: (2025)

TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning
by: Zhu, Yinghao, et al.
Published: (2025)

Enhancing Electricity-System Resilience with Adaptive Robust Optimization and Conformal Uncertainty Characterization
by: Chen, Shuyi, et al.
Published: (2025)

Conformalized Decision Risk Assessment
by: Zhou, Wenbin, et al.
Published: (2025)

DeepVekua: Geometric-Spectral Representation Learning for Physics-Informed Fields
by: Khasia, Vladimer
Published: (2025)

Assessing Electricity Service Unfairness with Transfer Counterfactual Learning
by: Wei, Song, et al.
Published: (2023)

Symmetry-Reduced Physics-Informed Learning of Tensegrity Dynamics
by: Qin, Jing, et al.
Published: (2026)

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning
by: Liu, Yunhui, et al.
Published: (2026)

Generating Less Certain Adversarial Examples Improves Robust Generalization
by: Zhang, Minxing, et al.
Published: (2023)

PILIR: Physics-Informed Local Implicit Representation
by: Li, Jianfeng, et al.
Published: (2026)

Transfer Learning for Diffusion Models
by: Ouyang, Yidong, et al.
Published: (2024)

Learning Representations for Independence Testing
by: Xu, Nathaniel, et al.
Published: (2024)

Detecting Post-generation Edits to Watermarked LLM Outputs via Combinatorial Watermarking
by: Xie, Liyan, et al.
Published: (2025)

Dynamic Graph Representation Learning for Passenger Behavior Prediction
by: Xie, Mingxuan, et al.
Published: (2024)

Identifiable Representation and Model Learning for Latent Dynamic Systems
by: Zhang, Congxi, et al.
Published: (2024)

Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)

Physics-Informed Machine Learning for Pouch Cell Temperature Estimation
by: Liu, Zheng
Published: (2026)

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics
by: Luo, Dongyu, et al.
Published: (2024)

Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
by: Chen, Shuyi, et al.
Published: (2025)

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
by: Ma, Ruiyang, et al.
Published: (2025)

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble
by: Yu, Zewei, et al.
Published: (2026)

Causal Representation Learning from Multiple Distributions: A General Setting
by: Zhang, Kun, et al.
Published: (2024)

Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation
by: Li, Michael Lingzhi, et al.
Published: (2024)

Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)

Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation
by: Ouyang, Yidong, et al.
Published: (2026)