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 231 篇，第 2 / 5 页

51. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
52. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
53. ICLR 2024Function-space Parameterization of Neural Networks for Sequential Learning
54. ICLR 2024Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
55. ICLR 2024GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
56. ICLR 2024Graphical Multioutput Gaussian Process with Attention
57. ICLR 2024Grokking as a First Order Phase Transition in Two Layer Networks
58. ICLR 2024High-dimensional SGD aligns with emerging outlier eigenspaces
59. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
60. ICLR 2024Horizon-Free Regret for Linear Markov Decision Processes
61. ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
62. ICLR 2024Kalman Filter for Online Classification of Non-Stationary Data
63. ICLR 2024Leave-one-out Distinguishability in Machine Learning
64. ICLR 2024Light Schrödinger Bridge
65. ICLR 2024Making Pre-trained Language Models Great on Tabular Prediction
66. ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
67. ICLR 2024Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
68. ICLR 2024On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
69. ICLR 2024Optimal Sample Complexity for Average Reward Markov Decision Processes
70. ICLR 2024Prediction Error-based Classification for Class-Incremental Learning
71. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
72. ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
73. ICLR 2024Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
74. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right
75. ICLR 2024Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
76. ICLR 2024Uncertainty Quantification via Stable Distribution Propagation
77. ICML 2024$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
78. ICML 2024A Rate-Distortion View of Uncertainty Quantification
79. ICML 2024A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
80. ICML 2024Amortized Variational Deep Kernel Learning
81. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
82. ICML 2024Asymptotics of feature learning in two-layer networks after one gradient-step
83. ICML 2024Asymptotics of Learning with Deep Structured (Random) Features
84. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
85. ICML 2024Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
86. ICML 2024Classification Under Strategic Self-Selection
87. ICML 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
88. ICML 2024Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
89. ICML 2024Critical feature learning in deep neural networks
90. ICML 2024Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
91. ICML 2024Deep Regression Representation Learning with Topology
92. ICML 2024EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
93. ICML 2024Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
94. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
95. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
96. ICML 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
97. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
98. ICML 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation
99. ICML 2024Gaussian Processes on Cellular Complexes
100. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation

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。