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 6 / 7 页

  1. NeurIPS 2025Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
  2. NeurIPS 2025Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
  3. NeurIPS 2025Gaussian Processes for Shuffled Regression
  4. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
  5. NeurIPS 2025Go With the Flow: Fast Diffusion for Gaussian Mixture Models
  6. NeurIPS 2025GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis
  7. NeurIPS 2025H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
  8. NeurIPS 2025HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
  9. NeurIPS 2025HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis
  10. NeurIPS 2025Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
  11. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
  12. NeurIPS 2025Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
  13. NeurIPS 2025Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
  14. NeurIPS 2025Infinite Neural Operators: Gaussian processes on functions
  15. NeurIPS 2025Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs
  16. NeurIPS 2025Instant4D: 4D Gaussian Splatting in Minutes
  17. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
  18. NeurIPS 2025LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
  19. NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
  20. NeurIPS 2025Linear Mixture Distributionally Robust Markov Decision Processes
  21. NeurIPS 2025LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
  22. NeurIPS 2025Markov Persuasion Processes: Learning to Persuade From Scratch
  23. NeurIPS 2025MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
  24. NeurIPS 2025MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
  25. NeurIPS 2025Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
  26. NeurIPS 2025Modeling Neural Activity with Conditionally Linear Dynamical Systems
  27. NeurIPS 2025Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
  28. NeurIPS 2025MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
  29. NeurIPS 2025No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
  30. NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
  31. NeurIPS 2025NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
  32. NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
  33. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
  34. NeurIPS 2025Optimized Minimal 3D Gaussian Splatting
  35. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
  36. NeurIPS 2025Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
  37. NeurIPS 2025ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos
  38. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
  39. NeurIPS 2025Quantitative convergence of trained neural networks to Gaussian processes
  40. NeurIPS 2025Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
  41. NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
  42. NeurIPS 2025Regression Trees Know Calculus
  43. NeurIPS 2025Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
  44. NeurIPS 2025Resolution of Simpson's paradox via the common cause principle
  45. NeurIPS 2025Rethinking Approximate Gaussian Inference in Classification
  46. NeurIPS 2025Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
  47. NeurIPS 2025Robust and Computation-Aware Gaussian Processes
  48. NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
  49. NeurIPS 2025Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
  50. NeurIPS 2025Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks

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