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

1,049 papers, page 3 of 21

101. CVPR 2026SplatSuRe Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting
102. CVPR 2026SR3R Rethinking Super-Resolution 3D Reconstruction With Feed-Forward Gaussian Splatting
103. CVPR 2026Stochastic Ray Tracing for the Reconstruction of 3D Gaussian Splatting
104. CVPR 2026SunFaded Illumination-Aware Gaussian Splatting for Dark Scenes with Camera-Mounted Active
105. CVPR 2026SV-GS Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting
106. CVPR 2026Tavatar Topology-Aware Gaussian Attribute Derivation for Animatable Human Avatars
107. CVPR 2026TGSFormer Scalable Temporal Gaussian Splatting for Embodied Semantic Scene Completion
108. CVPR 2026TokenGS Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens
109. CVPR 2026TokenSplat Token-aligned 3D Gaussian Splatting for Feed-forward Pose-free Reconstruction
110. CVPR 2026Turbo-GS Accelerating 3D Gaussian Fitting for High-Resolution Radiance Fields
111. CVPR 2026TWINGS Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting
112. CVPR 2026Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
113. CVPR 2026Urban-GS A Unified 3D Gaussian Splatting Framework for Compact and
114. CVPR 2026VAD-GS Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban
115. CVPR 2026VarSplat Uncertainty-aware 3D Gaussian Splatting for Robust RGB-D SLAM
116. CVPR 2026Z-Order Transformer for Feed-Forward Gaussian Splatting
117. ICLR 2026A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
118. ICLR 2026A Statistical Theory of Overfitting for Imbalanced Classification
119. ICLR 2026A Unification of Discrete, Gaussian, and Simplicial Diffusion
120. ICLR 2026Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation
121. ICLR 2026Adaptive Gaussian Expansion for On-the-fly Category Discovery
122. ICLR 2026All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting
123. ICLR 2026An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
124. ICLR 2026Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers
125. ICLR 2026Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
126. ICLR 2026Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
127. ICLR 2026CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting
128. ICLR 2026Continuous multinomial logistic regression for neural decoding
129. ICLR 2026Cooperative Sheaf Neural Networks
130. ICLR 2026CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous Reconstruction
131. ICLR 2026DeNOTS: Stable Deep Neural ODEs for Time Series
132. ICLR 2026Diffusion Bridge Variational Inference for Deep Gaussian Processes
133. ICLR 2026Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning
134. ICLR 2026Edit-Based Flow Matching for Temporal Point Processes
135. ICLR 2026Fair Graph Machine Learning under Adversarial Missingness Processes
136. ICLR 2026Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
137. ICLR 2026Frequency-aware Dynamic Gaussian Splatting
138. ICLR 2026Gaussian certified unlearning in high dimensions: A hypothesis testing approach
139. ICLR 2026Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
140. ICLR 2026Graph Random Features for Scalable Gaussian Processes
141. ICLR 2026Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering
142. ICLR 2026In-Context Learning of Temporal Point Processes with Foundation Inference Models
143. ICLR 2026Incorporating Expert Priors into Bayesian Optimization via Dynamic Mean Decay
144. ICLR 2026InfoNCE Induces Gaussian Distribution
145. ICLR 2026Learning Unified Representation of 3D Gaussian Splatting
146. ICLR 2026Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
147. ICLR 2026Multiplicative Diffusion Models: Beyond Gaussian Latents
148. ICLR 2026Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification
149. ICLR 2026Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes
150. ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes

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.