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 144 篇，第 2 / 3 页

51. ICLR 2025Distribution-Specific Agnostic Conditional Classification With Halfspaces
52. ICLR 2025End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
53. ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
54. ICLR 2025Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
55. ICLR 2025Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
56. ICLR 2025Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
57. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
58. ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
59. ICLR 2025Improved Sampling Algorithms for Lévy-Itô Diffusion Models
60. ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
61. ICLR 2025Linear SCM Identification in the Presence of Confounders and Gaussian Noise
62. ICLR 2025Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
63. ICLR 2025MLPs Learn In-Context on Regression and Classification Tasks
64. ICLR 2025Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
65. ICLR 2025Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
66. ICLR 2025On Scaling Up 3D Gaussian Splatting Training
67. ICLR 2025Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
68. ICLR 2025Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
69. ICLR 2025Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
70. ICLR 2025Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
71. ICLR 2025ReMatching Dynamic Reconstruction Flow
72. ICLR 2025Residual Deep Gaussian Processes on Manifolds
73. ICLR 2025Robust Simulation-Based Inference under Missing Data via Neural Processes
74. ICLR 2025SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
75. ICLR 2025Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
76. ICLR 2025Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
77. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
78. ICLR 2025SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
79. ICLR 2025The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
80. ICLR 2025Unlocking Point Processes through Point Set Diffusion
81. ICLR 2025Variance-Reducing Couplings for Random Features
82. ICLR 2024A General Framework for User-Guided Bayesian Optimization
83. ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
84. ICLR 2024A Unified Framework for Bayesian Optimization under Contextual Uncertainty
85. ICLR 2024Amortized Network Intervention to Steer the Excitatory Point Processes
86. ICLR 2024Augmented Bayesian Policy Search
87. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
88. ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
89. ICLR 2024Conformal Prediction via Regression-as-Classification
90. ICLR 2024Convolutional Deep Kernel Machines
91. ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
92. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
93. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
94. ICLR 2024Function-space Parameterization of Neural Networks for Sequential Learning
95. ICLR 2024Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
96. ICLR 2024GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
97. ICLR 2024Graphical Multioutput Gaussian Process with Attention
98. ICLR 2024Grokking as a First Order Phase Transition in Two Layer Networks
99. ICLR 2024High-dimensional SGD aligns with emerging outlier eigenspaces
100. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs

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。