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 323 篇，第 5 / 7 页

  1. ICML 2025Quantum Algorithms for Finite-horizon Markov Decision Processes
  2. ICML 2025Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
  3. ICML 2025Rényi Neural Processes
  4. ICML 2025Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
  5. ICML 2025Robust and Conjugate Spatio-Temporal Gaussian Processes
  6. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
  7. ICML 2025Scalable Gaussian Processes with Latent Kronecker Structure
  8. ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
  9. ICML 2025Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
  10. ICML 2025Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
  11. ICML 2025Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
  12. ICML 2025Stream-level Flow Matching with Gaussian Processes
  13. ICML 2025The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
  14. ICML 2025Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
  15. ICML 2025Trajectory Inference with Smooth Schrödinger Bridges
  16. ICML 2025Universal Approximation Theorem of Deep Q-Networks
  17. ICML 2025Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
  18. NeurIPS 2025$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
  19. NeurIPS 20251000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
  20. NeurIPS 20253D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
  21. NeurIPS 20253D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
  22. NeurIPS 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
  23. NeurIPS 2025A Provable Approach for End-to-End Safe Reinforcement Learning
  24. NeurIPS 2025Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty
  25. NeurIPS 2025Accelerated Evolving Set Processes for Local PageRank Computation
  26. NeurIPS 2025Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
  27. NeurIPS 2025Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
  28. NeurIPS 2025Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
  29. NeurIPS 2025Anti-Aliased 2D Gaussian Splatting
  30. NeurIPS 2025Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
  31. NeurIPS 2025Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
  32. NeurIPS 2025AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
  33. NeurIPS 2025Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
  34. NeurIPS 2025BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
  35. NeurIPS 2025BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
  36. NeurIPS 2025Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
  37. NeurIPS 2025CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
  38. NeurIPS 2025Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
  39. NeurIPS 2025DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting
  40. NeurIPS 2025DGH: Dynamic Gaussian Hair
  41. NeurIPS 2025Distance-informed Neural Processes
  42. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
  43. NeurIPS 2025Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos
  44. NeurIPS 2025EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting
  45. NeurIPS 2025Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
  46. NeurIPS 2025EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
  47. NeurIPS 2025Faster Fixed-Point Methods for Multichain MDPs
  48. NeurIPS 2025FHGS: Feature-Homogenized Gaussian Splatting
  49. NeurIPS 2025Flow Matching Neural Processes
  50. NeurIPS 2025Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent

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。

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