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

每年论文数

各会议论文数

按年份和会议统计

高斯过程论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202369274810154
202491366440231
20251064153123323
20261064079116341

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

全部高斯过程论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,049 篇，第 16 / 21 页

  1. ICML 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
  2. ICML 2024Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
  3. ICML 2024Critical feature learning in deep neural networks
  4. ICML 2024Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
  5. ICML 2024Deep Regression Representation Learning with Topology
  6. ICML 2024EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
  7. ICML 2024Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
  8. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
  9. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
  10. ICML 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
  11. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
  12. ICML 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation
  13. ICML 2024Gaussian Processes on Cellular Complexes
  14. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
  15. ICML 2024Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
  16. ICML 2024Geometry-Aware Instrumental Variable Regression
  17. ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
  18. ICML 2024Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
  19. ICML 2024Interacting Diffusion Processes for Event Sequence Forecasting
  20. ICML 2024Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
  21. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
  22. ICML 2024Learning Latent Space Hierarchical EBM Diffusion Models
  23. ICML 2024Learning Mixtures of Gaussian Processes through Random Projection
  24. ICML 2024Learning to Reach Goals via Diffusion
  25. ICML 2024Logistic Variational Bayes Revisited
  26. ICML 2024Memory Efficient Neural Processes via Constant Memory Attention Block
  27. ICML 2024Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
  28. ICML 2024Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
  29. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
  30. ICML 2024Neural Jump-Diffusion Temporal Point Processes
  31. ICML 2024Neuro-Symbolic Temporal Point Processes
  32. ICML 2024No Double Descent in Principal Component Regression: A High-Dimensional Analysis
  33. ICML 2024On the Consistency of Kernel Methods with Dependent Observations
  34. ICML 2024One-Shot Strategic Classification Under Unknown Costs
  35. ICML 2024PAGER: Accurate Failure Characterization in Deep Regression Models
  36. ICML 2024Physics and Lie symmetry informed Gaussian processes
  37. ICML 2024Preventing Model Collapse in Gaussian Process Latent Variable Models
  38. ICML 2024Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
  39. ICML 2024Probabilistic Generating Circuits - Demystified
  40. ICML 2024Probabilistic Modeling of Interpersonal Coordination Processes
  41. ICML 2024Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
  42. ICML 2024Rate-Optimal Policy Optimization for Linear Markov Decision Processes
  43. ICML 2024Robust and Conjugate Gaussian Process Regression
  44. ICML 2024Robust Classification via a Single Diffusion Model
  45. ICML 2024Robustly Learning Single-Index Models via Alignment Sharpness
  46. ICML 2024Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
  47. ICML 2024Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
  48. ICML 2024Stationarity without mean reversion in improper Gaussian processes
  49. ICML 2024Stochastic Localization via Iterative Posterior Sampling
  50. ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

「概率与贝叶斯」下的其他主题