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 11 / 21 页

  1. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
  2. ICLR 2025SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
  3. ICLR 2025The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
  4. ICLR 2025Unlocking Point Processes through Point Set Diffusion
  5. ICLR 2025Variance-Reducing Couplings for Random Features
  6. ICML 2025Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
  7. ICML 2025BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
  8. ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
  9. ICML 2025Determinant Estimation under Memory Constraints and Neural Scaling Laws
  10. ICML 2025Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
  11. ICML 2025Distributionally Robust Active Learning for Gaussian Process Regression
  12. ICML 2025Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
  13. ICML 2025Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
  14. ICML 2025Finite-Time Analysis of Discrete-Time Stochastic Interpolants
  15. ICML 2025Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
  16. ICML 2025Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
  17. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
  18. ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
  19. ICML 2025Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
  20. ICML 2025Gridded Transformer Neural Processes for Spatio-Temporal Data
  21. ICML 2025Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
  22. ICML 2025Integration-free Kernels for Equivariant Gaussian Process Modelling
  23. ICML 2025Interaction-Aware Gaussian Weighting for Clustered Federated Learning
  24. ICML 2025K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
  25. ICML 2025Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
  26. ICML 2025Learning Gaussian DAG Models without Condition Number Bounds
  27. ICML 2025Learning multivariate Gaussians with imperfect advice
  28. ICML 2025Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
  29. ICML 2025Learning Safe Control via On-the-Fly Bandit Exploration
  30. ICML 2025Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
  31. ICML 2025Learning Utilities from Demonstrations in Markov Decision Processes
  32. ICML 2025Linearization Turns Neural Operators into Function-Valued Gaussian Processes
  33. ICML 2025Low-Rank Thinning
  34. ICML 2025Model-Based Exploration in Monitored Markov Decision Processes
  35. ICML 2025Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
  36. ICML 2025New Bounds for Sparse Variational Gaussian Processes
  37. ICML 2025On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
  38. ICML 2025PAC-Bayes Analysis for Recalibration in Classification
  39. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
  40. ICML 2025PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
  41. ICML 2025PRIME: Deep Imbalanced Regression with Proxies
  42. ICML 2025Quantum Algorithms for Finite-horizon Markov Decision Processes
  43. ICML 2025Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
  44. ICML 2025Rényi Neural Processes
  45. ICML 2025Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
  46. ICML 2025Robust and Conjugate Spatio-Temporal Gaussian Processes
  47. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
  48. ICML 2025Scalable Gaussian Processes with Latent Kronecker Structure
  49. ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
  50. ICML 2025Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization

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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"}

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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。

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