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 1,049 篇，第 7 / 21 页
- NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
- NeurIPS 2026Online Data Selection for Instruction Tuning via Gaussian Processes
- NeurIPS 2026Optimal Linear Regression Without a Variance
- NeurIPS 2026Outlier-Robust Multi-Output Gaussian Processes
- NeurIPS 2026Periodic Complex Stochastic Processes for Retrieving Atomic Structures of Unknown Matters
- NeurIPS 2026PF-SGS: Pose-Free Streaming 3D Gaussian Splatting for Large-Scale Scene Reconstruction
- NeurIPS 2026PGMS: Pyramidal Gaussian Mixture Splatting for 3DGS Compression
- NeurIPS 2026Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms
- NeurIPS 2026Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals
- NeurIPS 2026PolySplat: Workload-Regime-Aware Rasterization for 3D Gaussian Splatting
- NeurIPS 2026Post-ADC Inference: Valid Inference After Active Data Collection
- NeurIPS 2026Practical Non-Stationary Graph Gaussian Processes
- NeurIPS 2026Proper Agnostic Learning of Functions of Halfspaces
- NeurIPS 2026Provable Pruning for Efficient 3D Gaussian Splatting via Coresets
- NeurIPS 2026Rare-Tail Statistics For Learning Biased Gaussian Halfspaces with Label Noise
- NeurIPS 2026Regret-Optimal Wasserstein-Robust Regression
- NeurIPS 2026ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
- NeurIPS 2026Residual-Autoregressive Context for 3D Gaussian Splatting Compression
- NeurIPS 2026Robust Diffusion Models via Divergence-Induced Weighted Denoising
- NeurIPS 2026Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
- NeurIPS 2026Sparse Attention as Compact Kernel Regression
- NeurIPS 2026Spectral Transformer Neural Processes
- NeurIPS 2026Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting
- NeurIPS 2026StereoSplat: Metric-Scale Novel View Synthesis via Stereo-Grounded Gaussian Splatting
- NeurIPS 2026Stochastic Heat Diffusion Models
- NeurIPS 2026Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference
- NeurIPS 2026Subprocess-Constrained Markov Decision Processes
- NeurIPS 2026Sup-Norm Error under Proportional Asymptotics: Phase Transitions under Linear Regression
- NeurIPS 2026Symplectic Reck: In-Situ Learning of Gaussian Quantum Operations
- NeurIPS 2026SynGS: Synergistic Continual Learning and Change Detection with Gaussian Splatting
- NeurIPS 2026The Minimax Rate of Second-Order Calibration
- NeurIPS 2026The Price of Locality in Label Privacy: Optimal Rates for Classification and Regression
- NeurIPS 2026The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
- NeurIPS 2026Towards Matrix-Parallel and Feature-Scalable 3D Gaussian Splatting Rendering on GPUs
- NeurIPS 2026TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering
- NeurIPS 2026U-MVP: Encode Locally, Decode Globally for Feed-Forward 3D Gaussian Splatting
- NeurIPS 2026UltraVoxelGS: Voxel-First Feed-Forward Gaussian Splatting for 3D Ultrasound Reconstruction
- NeurIPS 2026Umbilic Multinomial Logistic Regression
- NeurIPS 2026UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering
- NeurIPS 2026Very Fast Bayesian Additive Regression Trees on GPU
- NeurIPS 2026When does LeJEPA learn a World Model?
- CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- CVPR 20253D Gaussian Inpainting with Depth-Guided Cross-View Consistency
- CVPR 20253D-GSW: 3D Gaussian Splatting for Robust Watermarking
- CVPR 20253D-HGS: 3D Half-Gaussian Splatting
- CVPR 20253DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
- CVPR 20254D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
- CVPR 2025ActiveGAMER: Active GAussian Mapping through Efficient Rendering
- CVPR 2025AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction
- CVPR 2025BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting
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。