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

每年论文数

各会议论文数

按年份和会议统计

物理约束 ML论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202321911950
20242732151185
202565382519147
202654645130199

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

全部物理约束 ML论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 481 篇，第 9 / 10 页

  1. ICML 2024Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
  2. ICML 2024PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
  3. ICML 2024Pluvial Flood Emulation with Hydraulics-informed Message Passing
  4. ICML 2024Stability-Informed Initialization of Neural Ordinary Differential Equations
  5. NeurIPS 2024A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention
  6. NeurIPS 2024ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
  7. NeurIPS 2024Constrained Synthesis with Projected Diffusion Models
  8. NeurIPS 2024CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
  9. NeurIPS 2024DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
  10. NeurIPS 2024Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
  11. NeurIPS 2024How does PDE order affect the convergence of PINNs?
  12. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
  13. NeurIPS 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
  14. NeurIPS 2024Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
  15. NeurIPS 2024Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
  16. NeurIPS 2024Meta-Learning Universal Priors Using Non-Injective Change of Variables
  17. NeurIPS 2024Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
  18. NeurIPS 2024Multiple Physics Pretraining for Spatiotemporal Surrogate Models
  19. NeurIPS 2024Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
  20. NeurIPS 2024P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
  21. NeurIPS 2024Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
  22. NeurIPS 2024Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  23. NeurIPS 2024Physics-Informed Variational State-Space Gaussian Processes
  24. NeurIPS 2024Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
  25. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
  26. NeurIPS 2024Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
  27. NeurIPS 2024RoPINN: Region Optimized Physics-Informed Neural Networks
  28. NeurIPS 2024SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
  29. NeurIPS 2024The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
  30. NeurIPS 2024Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
  31. NeurIPS 2024What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
  32. CVPR 20233D Human Pose Estimation via Intuitive Physics
  33. CVPR 2023DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors
  34. CVPR 2023Imitation Learning As State Matching via Differentiable Physics
  35. CVPR 2023Learning 3D Scene Priors With 2D Supervision
  36. CVPR 2023Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans
  37. CVPR 2023NLOST: Non-Line-of-Sight Imaging With Transformer
  38. CVPR 2023Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos
  39. CVPR 2023Thermal Spread Functions (TSF): Physics-Guided Material Classification
  40. CVPR 2023Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors
  41. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
  42. ICLR 2023Competitive Physics Informed Networks
  43. ICLR 2023DiffMimic: Efficient Motion Mimicking with Differentiable Physics
  44. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
  45. ICLR 2023Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
  46. ICLR 2023NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
  47. ICLR 2023Phase2vec: dynamical systems embedding with a physics-informed convolutional network
  48. ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
  49. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
  50. ICML 2023Achieving High Accuracy with PINNs via Energy Natural Gradient Descent

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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