高斯过程论文趋势 2023–2026

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。

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 106 篇，第 2 / 3 页

51. NeurIPS 2025LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
52. NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
53. NeurIPS 2025Linear Mixture Distributionally Robust Markov Decision Processes
54. NeurIPS 2025LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
55. NeurIPS 2025Markov Persuasion Processes: Learning to Persuade From Scratch
56. NeurIPS 2025MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
57. NeurIPS 2025MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
58. NeurIPS 2025Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
59. NeurIPS 2025Modeling Neural Activity with Conditionally Linear Dynamical Systems
60. NeurIPS 2025Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
61. NeurIPS 2025MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
62. NeurIPS 2025No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
63. NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
64. NeurIPS 2025NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
65. NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
66. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
67. NeurIPS 2025Optimized Minimal 3D Gaussian Splatting
68. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
69. NeurIPS 2025Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
70. NeurIPS 2025ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos
71. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
72. NeurIPS 2025Quantitative convergence of trained neural networks to Gaussian processes
73. NeurIPS 2025Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
74. NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
75. NeurIPS 2025Regression Trees Know Calculus
76. NeurIPS 2025Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
77. NeurIPS 2025Resolution of Simpson's paradox via the common cause principle
78. NeurIPS 2025Rethinking Approximate Gaussian Inference in Classification
79. NeurIPS 2025Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
80. NeurIPS 2025Robust and Computation-Aware Gaussian Processes
81. NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
82. NeurIPS 2025Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
83. NeurIPS 2025Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
84. NeurIPS 2025SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
85. NeurIPS 2025Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
86. NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
87. NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
88. NeurIPS 2025Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
89. NeurIPS 2025Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
90. NeurIPS 2025Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array
91. NeurIPS 2025SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
92. NeurIPS 2025Squared families are useful conjugate priors
93. NeurIPS 2025STACI: Spatio-Temporal Aleatoric Conformal Inference
94. NeurIPS 2025Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
95. NeurIPS 2025Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
96. NeurIPS 2025Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
97. NeurIPS 2025The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
98. NeurIPS 2025The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
99. NeurIPS 2025The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
100. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs

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。