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
- 高斯过程论文从 2023 年的 154 篇增长到 2026 年的 341 篇，三年间扩大到约 2.2 倍。
- NeurIPS 是发高斯过程论文最多的会议，2023–2026 年共 372 篇，占四个会议总量的 35%。
- 交叉方向里涨得最快的是三维视觉：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 158 篇。
- 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的生成流是 1.9 倍，高斯过程是 2.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 69 | 27 | 48 | 10 | 154 |
| 2024 | 91 | 36 | 64 | 40 | 231 |
| 2025 | 106 | 41 | 53 | 123 | 323 |
| 2026 | 106 | 40 | 79 | 116 | 341 |
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 2026Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
- ICML 2026A unified theory of feature learning in RNNs and DNNs
- ICLR 2026Adaptive Gaussian Expansion for On-the-fly Category Discovery
- CVPR 2026Distilling Unsigned Distance Function for Surface Reconstruction from 3D Gaussian
- NeurIPS 2025Accelerated Evolving Set Processes for Local PageRank Computation
- ICML 2025BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
- ICLR 2025Boosting Methods for Interval-censored Data with Regression and Classification
- CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- NeurIPS 2024Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
- ICML 2024A Rate-Distortion View of Uncertainty Quantification
- ICLR 2024A General Framework for User-Guided Bayesian Optimization
- CVPR 2024Deep Imbalanced Regression via Hierarchical Classification Adjustment
- NeurIPS 2023A Bayesian Take on Gaussian Process Networks
- ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
- ICLR 2023Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
- CVPR 2023Robust and Scalable Gaussian Process Regression and Its Applications
- NeurIPS 2026Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
- ICML 2026ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
- ICLR 2026Continuous multinomial logistic regression for neural decoding
- CVPR 2026ELITE Efficient Gaussian Head Avatar from a Monocular Video via
全部高斯过程论文
共 323 篇，第 7 / 7 页
- NeurIPS 2025SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
- NeurIPS 2025Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
- NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
- NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
- NeurIPS 2025Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
- NeurIPS 2025Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
- NeurIPS 2025Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array
- NeurIPS 2025SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
- NeurIPS 2025Squared families are useful conjugate priors
- NeurIPS 2025STACI: Spatio-Temporal Aleatoric Conformal Inference
- NeurIPS 2025Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
- NeurIPS 2025Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
- NeurIPS 2025Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
- NeurIPS 2025The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
- NeurIPS 2025The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
- NeurIPS 2025The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
- NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
- NeurIPS 2025Transformers are almost optimal metalearners for linear classification
- NeurIPS 2025TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
- NeurIPS 2025TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
- NeurIPS 2025Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
- NeurIPS 2025VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
- NeurIPS 2025Zero-Shot Performance Prediction for Probabilistic Scaling Laws
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"}
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。