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 30 篇,第 1 / 1 页
- CVPR 2026A Geometric Algebra-Informed 3DGS Framework for Wireless Channel Prediction
- CVPR 2026AeroAgent A Vision-Physics-Decision Framework for Aerodynamic Vehicle Design
- CVPR 2026AnchorSplat Feed-Forward 3D Gaussian Splatting With 3D Geometric Priors
- CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
- CVPR 2026AviaSafe A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts
- CVPR 2026Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology
- CVPR 2026CICA Coupling Confidence-Aware Pretraining with Confidence-Informed Attention for Robust Multimodal
- CVPR 2026Domain Sensitive Federated Learning with Fisher-Informed Pruning
- CVPR 2026Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields
- CVPR 2026From 2D Alignment to 3D Plausibility Unifying Heterogeneous 2D Priors
- CVPR 2026GaussFusion Improving 3D Reconstruction in the Wild with A Geometry-Informed
- CVPR 2026GeoDexGrasp Geometry-aware Generation for Data-efficient and Physics-plausible Dexterous Grasping
- CVPR 2026InterPhys Physics-aware Human Motion Synthesis in a Dynamic Scene
- CVPR 2026LaDy Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal
- CVPR 2026Learning Surgical Robotic Manipulation with 3D Spatial Priors
- CVPR 2026MaskAdapt Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based
- CVPR 2026MDS-VQA Model-Informed Data Selection for Video Quality Assessment
- CVPR 2026MicroFM Physics-guided Flow Matching for Isotropic Microscopy Reconstruction
- CVPR 2026PHASE-Net Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement
- CVPR 2026PhyOceanCast Global Ocean Forecasting with Physics-Informed Diffusion
- CVPR 2026Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction
- CVPR 2026Physics-Guided Multistep Deformation Reversal for Ancient Bamboo Slip Restoration
- CVPR 2026PhysSkin Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
- CVPR 2026PMRNet Physics-informed Multi-scale Refinement Network for Medical Image Segmentation
- CVPR 2026Seeing through Light and Darkness Sensor-Physics Grounded Deblurring HDR NeRF
- CVPR 2026Spatial-Spectral Residuals Informed Diffusion Neural Operator for Pan-sharpening
- CVPR 2026TopoSlide Topologically-Informed Histopathology Whole Slide Image Representation Learning
- CVPR 2026UniPixie Unified and Probabilistic 3D Physics Learning via Flow Matching
- CVPR 2026VT-Intrinsic Physics-Based Decomposition of Reflectance and Shading using a Single
- CVPR 2026WiseEdit Benchmarking Cognition- and Creativity-Informed Image Editing
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。