Gaussian Processes papers, 2023–2026
GP regression and classification
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,049 papers are tagged with this topic.
Key findings
- Gaussian Processes went from 154 papers in 2023 to 341 in 2026, roughly 2.2x in three years.
- NeurIPS publishes the most Gaussian Processes work: 372 papers from 2023 to 2026, 35% of the four-venue total.
- The fastest-growing overlap is with 3D Vision: papers tagged with both rose from 0 in 2023 to 158 in 2026.
- Among the 5 topics under Probabilistic and Bayesian, it ranks #1 by 2026 paper count; the fastest grower in the group, Generative Flows, is up 1.9x versus 2.2x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 69 | 27 | 48 | 10 | 154 |
| 2024 | 91 | 36 | 64 | 40 | 231 |
| 2025 | 106 | 41 | 53 | 123 | 323 |
| 2026 | 106 | 40 | 79 | 116 | 341 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Gaussian Processes papers
1,049 papers, page 14 of 21
- NeurIPS 2025STACI: Spatio-Temporal Aleatoric Conformal Inference
- NeurIPS 2025Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
- NeurIPS 2025Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
- NeurIPS 2025Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
- NeurIPS 2025The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
- NeurIPS 2025The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
- NeurIPS 2025The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
- NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
- NeurIPS 2025Transformers are almost optimal metalearners for linear classification
- NeurIPS 2025TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
- NeurIPS 2025TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
- NeurIPS 2025Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
- NeurIPS 2025VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
- NeurIPS 2025Zero-Shot Performance Prediction for Probabilistic Scaling Laws
- CVPR 20243D Geometry-Aware Deformable Gaussian Splatting for Dynamic View Synthesis
- CVPR 20243DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
- CVPR 2024Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling
- CVPR 2024ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
- CVPR 2024CoGS: Controllable Gaussian Splatting
- CVPR 2024COLMAP-Free 3D Gaussian Splatting
- CVPR 2024Compact 3D Gaussian Representation for Radiance Field
- CVPR 2024Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
- CVPR 2024Deep Imbalanced Regression via Hierarchical Classification Adjustment
- CVPR 2024DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
- CVPR 2024DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
- CVPR 2024Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
- CVPR 2024FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
- CVPR 2024FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization
- CVPR 2024GART: Gaussian Articulated Template Models
- CVPR 2024GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
- CVPR 2024Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
- CVPR 2024Gaussian Shadow Casting for Neural Characters
- CVPR 2024Gaussian Splatting SLAM
- CVPR 2024Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
- CVPR 2024GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
- CVPR 2024GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
- CVPR 2024GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
- CVPR 2024GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
- CVPR 2024GS-IR: 3D Gaussian Splatting for Inverse Rendering
- CVPR 2024GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
- CVPR 2024HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
- CVPR 2024HUGS: Human Gaussian Splats
- CVPR 2024Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
- CVPR 2024LangSplat: 3D Language Gaussian Splatting
- CVPR 2024Mip-Splatting: Alias-free 3D Gaussian Splatting
- CVPR 2024Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
- CVPR 2024pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
- CVPR 2024Relightable Gaussian Codec Avatars
- CVPR 2024Riemannian Multinomial Logistics Regression for SPD Neural Networks
- CVPR 2024SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
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FAQ
- How many Gaussian Processes papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,049 in total: 154 in 2023, 231 in 2024, 323 in 2025, 341 in 2026.
- How many Gaussian Processes papers are at NeurIPS 2026?
- NeurIPS 2026 has 106 Gaussian Processes papers, versus 106 the year before.
- How many Gaussian Processes papers are at ICLR 2026?
- ICLR 2026 has 40 Gaussian Processes papers, versus 41 the year before.
- How many Gaussian Processes papers are at ICML 2026?
- ICML 2026 has 79 Gaussian Processes papers, versus 53 the year before.
- How many Gaussian Processes papers are at CVPR 2026?
- CVPR 2026 has 116 Gaussian Processes papers, versus 123 the year before.
- Which conference publishes the most Gaussian Processes papers?
- NeurIPS, with 372 papers from 2023 to 2026.