Copertina

PAPM: A Physics-aware Proxy Model for Process Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Pengwei, Hao, Zhongkai, Ren, Xingyu, Yuan, Hangjie, Ren, Jiayang, Ni, Dong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts
di: Wang, Pengkai, et al.
Pubblicazione: (2026)

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

Quantum Semi-Random Forests for Qubit-Efficient Recommender Systems
di: Alavi, Azadeh, et al.
Pubblicazione: (2025)

Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models
di: Ren, Qihan, et al.
Pubblicazione: (2023)

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
di: Ren, Jiayang, et al.
Pubblicazione: (2022)

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
di: Ye, Yuyang, et al.
Pubblicazione: (2024)

Proxy Compression for Language Modeling
di: Zheng, Lin, et al.
Pubblicazione: (2026)

A Physics-preserved Transfer Learning Method for Differential Equations
di: Yang, Hao-Ran, et al.
Pubblicazione: (2025)

Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB
di: Ren, Xingyu, et al.
Pubblicazione: (2025)

Task Aware Dreamer for Task Generalization in Reinforcement Learning
di: Ying, Chengyang, et al.
Pubblicazione: (2023)

On the Reuse Bias in Off-Policy Reinforcement Learning
di: Ying, Chengyang, et al.
Pubblicazione: (2022)

Preconditioning for Physics-Informed Neural Networks
di: Liu, Songming, et al.
Pubblicazione: (2024)

Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Guidance with Proxy Constraint
di: Liu, Zhihao, et al.
Pubblicazione: (2025)

Uncertainty-aware Knowledge Tracing
di: Cheng, Weihua, et al.
Pubblicazione: (2025)

Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process
di: Ji, Xingyu, et al.
Pubblicazione: (2024)

Proxy-Guided Measurement Calibration
di: Vishnubhatla, Saketh, et al.
Pubblicazione: (2026)

Are Your Reasoning Models Reasoning or Guessing? A Mechanistic Analysis of Hierarchical Reasoning Models
di: Ren, Zirui, et al.
Pubblicazione: (2026)

Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
di: Ren, Li, et al.
Pubblicazione: (2024)

Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation
di: Biswas, Arpan, et al.
Pubblicazione: (2026)

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
di: Chen, Zhuomin, et al.
Pubblicazione: (2024)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
di: Lu, Aojun, et al.
Pubblicazione: (2025)

Bi-directional Model Cascading with Proxy Confidence
di: Warren, David, et al.
Pubblicazione: (2025)

Modeling Latent Non-Linear Dynamical System over Time Series
di: Fujiwara, Ren, et al.
Pubblicazione: (2024)

Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

Task-Oriented Multimodal Token Transmission in Resource-Constrained Multiuser Networks
di: Zhang, Junhe, et al.
Pubblicazione: (2025)

A Survey on Diffusion Models for Anomaly Detection
di: Liu, Jing, et al.
Pubblicazione: (2025)

Sharpness-aware Federated Graph Learning
di: Li, Ruiyu, et al.
Pubblicazione: (2025)

Curriculum Sampling: A Two-Phase Curriculum for Efficient Training of Flow Matching
di: Sun, Pengwei
Pubblicazione: (2026)

Amortized Network Intervention to Steer the Excitatory Point Processes
di: Song, Zitao, et al.
Pubblicazione: (2023)

ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference
di: Li, Junjie, et al.
Pubblicazione: (2026)

A Faster Path to Continual Learning
di: Li, Wei, et al.
Pubblicazione: (2026)

Diffusion-aware Censored Gaussian Processes for Demand Modelling
di: Rodrigues, Filipe
Pubblicazione: (2025)

Cognitive Activation and Chaotic Dynamics in Large Language Models: A Quasi-Lyapunov Analysis of Reasoning Mechanisms
di: Li, Xiaojian, et al.
Pubblicazione: (2025)

Efficient Proxy Raytracer for Optical Systems using Implicit Neural Representations
di: Sinaei, Shiva, et al.
Pubblicazione: (2025)

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
di: Liu, Pengfei, et al.
Pubblicazione: (2023)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
di: Zhu, Yu, et al.
Pubblicazione: (2024)

Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
di: Lu, Aojun, et al.
Pubblicazione: (2026)

Improved Operator Learning by Orthogonal Attention
di: Xiao, Zipeng, et al.
Pubblicazione: (2023)

Robust Optimization for Mitigating Reward Hacking with Correlated Proxies
di: Liu, Zixuan, et al.
Pubblicazione: (2026)

Cascading and Proxy Membership Inference Attacks
di: Du, Yuntao, et al.
Pubblicazione: (2025)