物理约束 ML论文趋势 2023–2026
PINN 与物理先验
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 481 篇被归入该主题的论文。
主要结论
- 物理约束 ML论文从 2023 年的 50 篇增长到 2026 年的 199 篇，三年间扩大到约 4.0 倍。
- NeurIPS 是发物理约束 ML论文最多的会议，2023–2026 年共 167 篇，占四个会议总量的 35%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 11 篇。
- 在「气候与物理科学」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的天气预报是 6.1 倍，物理约束 ML是 4.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 21 | 9 | 11 | 9 | 50 |
| 2024 | 27 | 32 | 15 | 11 | 85 |
| 2025 | 65 | 38 | 25 | 19 | 147 |
| 2026 | 54 | 64 | 51 | 30 | 199 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency
- ICML 2026Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE Constraints
- ICLR 2026CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
- CVPR 2026Domain Sensitive Federated Learning with Fisher-Informed Pruning
- NeurIPS 2025Activation-Informed Merging of Large Language Models
- ICML 2025Geometry-Informed Neural Networks
- ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
- CVPR 2025A Physics-Informed Blur Learning Framework for Imaging Systems
- NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
- ICML 2024A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
- ICLR 2024AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
- CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
- NeurIPS 2023ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
- ICML 2023Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
- ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
- CVPR 20233D Human Pose Estimation via Intuitive Physics
- NeurIPS 2026Neural Modal Decomposition: Architectural Priors from Observables
- ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
- ICLR 2026From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
- CVPR 2026LaDy Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal
全部物理约束 ML论文
共 21 篇，第 1 / 1 页
- NeurIPS 2023ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
- NeurIPS 2023Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
- NeurIPS 2023Gradient Informed Proximal Policy Optimization
- NeurIPS 2023H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
- NeurIPS 2023High-dimensional Asymptotics of Denoising Autoencoders
- NeurIPS 2023Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
- NeurIPS 2023Inferring Hybrid Neural Fluid Fields from Videos
- NeurIPS 2023InsActor: Instruction-driven Physics-based Characters
- NeurIPS 2023Lie Point Symmetry and Physics-Informed Networks
- NeurIPS 2023Nonparametric Boundary Geometry in Physics Informed Deep Learning
- NeurIPS 2023Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
- NeurIPS 2023Physics-Informed Bayesian Optimization of Variational Quantum Circuits
- NeurIPS 2023PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
- NeurIPS 2023Proximity-Informed Calibration for Deep Neural Networks
- NeurIPS 2023ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
- NeurIPS 2023Separable Physics-Informed Neural Networks
- NeurIPS 2023Solving Inverse Physics Problems with Score Matching
- NeurIPS 2023Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
- NeurIPS 2023Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
- NeurIPS 2023SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- NeurIPS 2023Versatile Energy-Based Probabilistic Models for High Energy Physics
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查物理约束 ML在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "physics-informed-ml"}
常见问题
- 2023–2026 年四大会议一共有多少篇物理约束 ML论文？
- 共 481 篇，按年份分别是 2023 年 50 篇、2024 年 85 篇、2025 年 147 篇、2026 年 199 篇。
- NeurIPS 2026 有多少篇物理约束 ML论文？
- NeurIPS 2026 有 54 篇物理约束 ML论文，上一届是 65 篇。
- ICLR 2026 有多少篇物理约束 ML论文？
- ICLR 2026 有 64 篇物理约束 ML论文，上一届是 38 篇。
- ICML 2026 有多少篇物理约束 ML论文？
- ICML 2026 有 51 篇物理约束 ML论文，上一届是 25 篇。
- CVPR 2026 有多少篇物理约束 ML论文？
- CVPR 2026 有 30 篇物理约束 ML论文，上一届是 19 篇。
- 哪个会议的物理约束 ML论文最多？
- NeurIPS，2023–2026 年共 167 篇。