高斯过程论文趋势 2023–2026

GP 回归与分类

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,049 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

高斯过程论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202369274810154
202491366440231
20251064153123323
20261064079116341

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

全部高斯过程论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 341 篇，第 6 / 7 页

  1. NeurIPS 2026Coarsening Linear Non-Gaussian Causal Models with Cycles
  2. NeurIPS 2026CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting
  3. NeurIPS 2026Complexity Aware Continuous Level of Details for Gaussian Splatting
  4. NeurIPS 2026Complexity-guided Regularization for Generalizable Human Gaussian Splatting
  5. NeurIPS 2026Concord-SLAM: Cross-Render Concordance for Boundary-Native Semantic Gaussian SLAM
  6. NeurIPS 2026Conditioning Gaussian Processes on Almost Anything
  7. NeurIPS 2026Constrained Bombieri Point Processes
  8. NeurIPS 2026Continuous-depth Deep Gaussian Processes
  9. NeurIPS 2026Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
  10. NeurIPS 2026Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
  11. NeurIPS 2026Deep Gaussian Processes on Directed Acyclic Graphs
  12. NeurIPS 2026Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes
  13. NeurIPS 2026Deformable 2D Gaussian Splatting
  14. NeurIPS 2026Diffeomoprhism-Informed 3D Gaussian Splattings via Screen-Space Optimal Transport (OT)
  15. NeurIPS 2026Disambiguating 2D-3D Correspondences in Gaussian Splatting-based Feature Fields for Visual Localization
  16. NeurIPS 2026DnNP: Denoising Input Uncertainty in Neural Processes
  17. NeurIPS 2026DTGS: Physics-Embedded Dynamic Thermal 3D Reconstruction with Gaussian Splatting
  18. NeurIPS 2026Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation
  19. NeurIPS 2026Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification
  20. NeurIPS 2026Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method
  21. NeurIPS 2026Feed-Forward 3D Gaussian Splatting for High-Fidelity Animatable Hand Avatar Reconstruction from a Single Image
  22. NeurIPS 2026Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design
  23. NeurIPS 2026Flexible Intensities Matter: A comprehensive re-evaluation of Classical and Neural Temporal Point Processes
  24. NeurIPS 2026Flow-Transformed Implicit Processes for Function-Space Variational Inference
  25. NeurIPS 2026From Jumps to Signatures: a Generative Method for Temporal Point Processes
  26. NeurIPS 2026GAMMA: Scalable 4D Gaussian Reconstruction Model for Novel View Synthesis of Monocular Videos
  27. NeurIPS 2026GauGal: Gaussian-Galerkin Electromagnetic Inverse Scattering Imaging
  28. NeurIPS 2026Gaussian Density Splatting Network
  29. NeurIPS 2026Gaussian Mixture Models in Hilbert Spaces via Kernel Methods
  30. NeurIPS 2026Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension
  31. NeurIPS 2026Geometry-Aware Score-Repellent Monte Carlo
  32. NeurIPS 2026GGQR: Gaussian-Grounded Query Refinement for Feed-Forward 4D Gaussian Splatting
  33. NeurIPS 2026High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series
  34. NeurIPS 2026How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
  35. NeurIPS 2026Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
  36. NeurIPS 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
  37. NeurIPS 2026LLM Flow Processes for Text-Conditioned Regression
  38. NeurIPS 2026Local Gaussian Processes on Compact Lie Groups
  39. NeurIPS 2026Local linear convergence of gradient methods for overparameterized Gaussian mixtures
  40. NeurIPS 2026Mamba Flow Matching Neural Processes: Linear-Time Inference for Irregularly Observed Spatial Fields
  41. NeurIPS 2026MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes
  42. NeurIPS 2026Mesh Invaiant Infinite Dimensional Adaptive MCMC for Latent Gaussian Processes
  43. NeurIPS 2026Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification
  44. NeurIPS 2026MOCHA: Discovering Multi-Order Dynamic Causal Structure in Temporal Point Processes
  45. NeurIPS 2026Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
  46. NeurIPS 2026Multiclass Classification with Rare Useful Features: Fundamental Limits and the Optimality of Diversity Pursuit Higher Criticism
  47. NeurIPS 2026MVPISplat: Multi-View Photometric Inconsistency for Defending 3D Gaussian Splatting Attacks
  48. NeurIPS 2026Neural Backward Filtering Forward Guiding
  49. NeurIPS 2026NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting
  50. NeurIPS 2026One Avatar, Any Budget: Robust LoD for Dynamic Gaussian Avatars

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 查高斯过程在 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": "gaussian-processes"}

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高斯过程论文？
共 1,049 篇，按年份分别是 2023 年 154 篇、2024 年 231 篇、2025 年 323 篇、2026 年 341 篇。
NeurIPS 2026 有多少篇高斯过程论文？
NeurIPS 2026 有 106 篇高斯过程论文，上一届是 106 篇。
ICLR 2026 有多少篇高斯过程论文？
ICLR 2026 有 40 篇高斯过程论文，上一届是 41 篇。
ICML 2026 有多少篇高斯过程论文？
ICML 2026 有 79 篇高斯过程论文，上一届是 53 篇。
CVPR 2026 有多少篇高斯过程论文？
CVPR 2026 有 116 篇高斯过程论文，上一届是 123 篇。
哪个会议的高斯过程论文最多？
NeurIPS，2023–2026 年共 372 篇。

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