Gaussian Processes papers, 2023–2026

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.

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

323 papers, page 3 of 7

101. CVPR 2025S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting
102. CVPR 2025SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting
103. CVPR 2025SfM-Free 3D Gaussian Splatting via Hierarchical Training
104. CVPR 2025SGSST: Scaling Gaussian Splatting Style Transfer
105. CVPR 2025SinGS: Animatable Single-Image Human Gaussian Splats with Kinematic Priors
106. CVPR 2025SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting
107. CVPR 2025Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views
108. CVPR 2025SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs
109. CVPR 2025SpecTRe-GS: Modeling Highly Specular Surfaces with Reflected Nearby Objects by Tracing Rays in 3D Gaussian Splatting
110. CVPR 2025Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
111. CVPR 2025Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images
112. CVPR 2025Steepest Descent Density Control for Compact 3D Gaussian Splatting
113. CVPR 2025SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
114. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
115. CVPR 2025TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
116. CVPR 2025Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
117. CVPR 2025Towards Realistic Example-based Modeling via 3D Gaussian Stitching
118. CVPR 2025UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
119. CVPR 2025USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
120. CVPR 2025UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
121. CVPR 2025Volumetrically Consistent 3D Gaussian Rasterization
122. CVPR 2025VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction
123. CVPR 2025WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments
124. ICLR 20256DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
125. ICLR 2025Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
126. ICLR 2025Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
127. ICLR 2025Bayesian Analysis of Combinatorial Gaussian Process Bandits
128. ICLR 2025Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
129. ICLR 2025Boosting Methods for Interval-censored Data with Regression and Classification
130. ICLR 2025Deep Kernel Posterior Learning under Infinite Variance Prior Weights
131. ICLR 2025Deep Random Features for Scalable Interpolation of Spatiotemporal Data
132. ICLR 2025Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
133. ICLR 2025Dimension Agnostic Neural Processes
134. ICLR 2025Distribution-Specific Agnostic Conditional Classification With Halfspaces
135. ICLR 2025End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
136. ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
137. ICLR 2025Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
138. ICLR 2025Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
139. ICLR 2025Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
140. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
141. ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
142. ICLR 2025Improved Sampling Algorithms for Lévy-Itô Diffusion Models
143. ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
144. ICLR 2025Linear SCM Identification in the Presence of Confounders and Gaussian Noise
145. ICLR 2025Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
146. ICLR 2025MLPs Learn In-Context on Regression and Classification Tasks
147. ICLR 2025Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
148. ICLR 2025Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
149. ICLR 2025On Scaling Up 3D Gaussian Splatting Training
150. ICLR 2025Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios

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.