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 231 篇，第 4 / 5 页

  1. NeurIPS 2024Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
  2. NeurIPS 2024Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
  3. NeurIPS 2024Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
  4. NeurIPS 2024Causal Imitation for Markov Decision Processes: a Partial Identification Approach
  5. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  6. NeurIPS 2024Conditioning non-linear and infinite-dimensional diffusion processes
  7. NeurIPS 2024Decomposable Transformer Point Processes
  8. NeurIPS 2024Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
  9. NeurIPS 2024Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
  10. NeurIPS 2024Distributed Sparse Regression via Penalization
  11. NeurIPS 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
  12. NeurIPS 2024Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
  13. NeurIPS 2024Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
  14. NeurIPS 2024Expressive Gaussian Human Avatars from Monocular RGB Video
  15. NeurIPS 2024Finding good policies in average-reward Markov Decision Processes without prior knowledge
  16. NeurIPS 2024Flipping-based Policy for Chance-Constrained Markov Decision Processes
  17. NeurIPS 2024FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
  18. NeurIPS 2024FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
  19. NeurIPS 2024Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
  20. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
  21. NeurIPS 2024Generalizable and Animatable Gaussian Head Avatar
  22. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
  23. NeurIPS 2024Gradients of Functions of Large Matrices
  24. NeurIPS 2024Graph Neural Networks Do Not Always Oversmooth
  25. NeurIPS 2024Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
  26. NeurIPS 2024GS-Hider: Hiding Messages into 3D Gaussian Splatting
  27. NeurIPS 2024GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction
  28. NeurIPS 2024GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
  29. NeurIPS 2024HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems
  30. NeurIPS 2024HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting
  31. NeurIPS 2024Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
  32. NeurIPS 2024Improving Adaptivity via Over-Parameterization in Sequence Models
  33. NeurIPS 2024Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
  34. NeurIPS 2024Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
  35. NeurIPS 2024Is Score Matching Suitable for Estimating Point Processes?
  36. NeurIPS 2024Kermut: Composite kernel regression for protein variant effects
  37. NeurIPS 2024Large Spatial Model: End-to-end Unposed Images to Semantic 3D
  38. NeurIPS 2024Learning from Snapshots of Discrete and Continuous Data Streams
  39. NeurIPS 2024LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
  40. NeurIPS 2024Linear Regression using Heterogeneous Data Batches
  41. NeurIPS 2024LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
  42. NeurIPS 2024LP-3DGS: Learning to Prune 3D Gaussian Splatting
  43. NeurIPS 2024Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
  44. NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
  45. NeurIPS 2024Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
  46. NeurIPS 2024Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  47. NeurIPS 2024MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
  48. NeurIPS 2024NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
  49. NeurIPS 2024Noise-Aware Differentially Private Regression via Meta-Learning
  50. NeurIPS 2024Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

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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