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 372 篇，第 5 / 8 页

  1. NeurIPS 2025Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
  2. NeurIPS 2025Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
  3. NeurIPS 2025The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
  4. NeurIPS 2025The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
  5. NeurIPS 2025The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
  6. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
  7. NeurIPS 2025Transformers are almost optimal metalearners for linear classification
  8. NeurIPS 2025TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
  9. NeurIPS 2025TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
  10. NeurIPS 2025Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
  11. NeurIPS 2025VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
  12. NeurIPS 2025Zero-Shot Performance Prediction for Probabilistic Scaling Laws
  13. NeurIPS 2024A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
  14. NeurIPS 2024Achieving Constant Regret in Linear Markov Decision Processes
  15. NeurIPS 2024Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
  16. NeurIPS 2024Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
  17. NeurIPS 2024Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
  18. NeurIPS 2024Approximately Equivariant Neural Processes
  19. NeurIPS 2024Approximation-Aware Bayesian Optimization
  20. NeurIPS 2024Batched Energy-Entropy acquisition for Bayesian Optimization
  21. NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
  22. NeurIPS 2024Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
  23. NeurIPS 2024Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
  24. NeurIPS 2024Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
  25. NeurIPS 2024Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
  26. NeurIPS 2024Causal Imitation for Markov Decision Processes: a Partial Identification Approach
  27. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  28. NeurIPS 2024Conditioning non-linear and infinite-dimensional diffusion processes
  29. NeurIPS 2024Decomposable Transformer Point Processes
  30. NeurIPS 2024Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
  31. NeurIPS 2024Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
  32. NeurIPS 2024Distributed Sparse Regression via Penalization
  33. NeurIPS 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
  34. NeurIPS 2024Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
  35. NeurIPS 2024Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
  36. NeurIPS 2024Expressive Gaussian Human Avatars from Monocular RGB Video
  37. NeurIPS 2024Finding good policies in average-reward Markov Decision Processes without prior knowledge
  38. NeurIPS 2024Flipping-based Policy for Chance-Constrained Markov Decision Processes
  39. NeurIPS 2024FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
  40. NeurIPS 2024FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
  41. NeurIPS 2024Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
  42. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
  43. NeurIPS 2024Generalizable and Animatable Gaussian Head Avatar
  44. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
  45. NeurIPS 2024Gradients of Functions of Large Matrices
  46. NeurIPS 2024Graph Neural Networks Do Not Always Oversmooth
  47. NeurIPS 2024Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
  48. NeurIPS 2024GS-Hider: Hiding Messages into 3D Gaussian Splatting
  49. NeurIPS 2024GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction
  50. NeurIPS 2024GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

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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