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 7 of 21

301. NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
302. NeurIPS 2026Online Data Selection for Instruction Tuning via Gaussian Processes
303. NeurIPS 2026Optimal Linear Regression Without a Variance
304. NeurIPS 2026Outlier-Robust Multi-Output Gaussian Processes
305. NeurIPS 2026Periodic Complex Stochastic Processes for Retrieving Atomic Structures of Unknown Matters
306. NeurIPS 2026PF-SGS: Pose-Free Streaming 3D Gaussian Splatting for Large-Scale Scene Reconstruction
307. NeurIPS 2026PGMS: Pyramidal Gaussian Mixture Splatting for 3DGS Compression
308. NeurIPS 2026Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms
309. NeurIPS 2026Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals
310. NeurIPS 2026PolySplat: Workload-Regime-Aware Rasterization for 3D Gaussian Splatting
311. NeurIPS 2026Post-ADC Inference: Valid Inference After Active Data Collection
312. NeurIPS 2026Practical Non-Stationary Graph Gaussian Processes
313. NeurIPS 2026Proper Agnostic Learning of Functions of Halfspaces
314. NeurIPS 2026Provable Pruning for Efficient 3D Gaussian Splatting via Coresets
315. NeurIPS 2026Rare-Tail Statistics For Learning Biased Gaussian Halfspaces with Label Noise
316. NeurIPS 2026Regret-Optimal Wasserstein-Robust Regression
317. NeurIPS 2026ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
318. NeurIPS 2026Residual-Autoregressive Context for 3D Gaussian Splatting Compression
319. NeurIPS 2026Robust Diffusion Models via Divergence-Induced Weighted Denoising
320. NeurIPS 2026Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
321. NeurIPS 2026Sparse Attention as Compact Kernel Regression
322. NeurIPS 2026Spectral Transformer Neural Processes
323. NeurIPS 2026Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting
324. NeurIPS 2026StereoSplat: Metric-Scale Novel View Synthesis via Stereo-Grounded Gaussian Splatting
325. NeurIPS 2026Stochastic Heat Diffusion Models
326. NeurIPS 2026Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference
327. NeurIPS 2026Subprocess-Constrained Markov Decision Processes
328. NeurIPS 2026Sup-Norm Error under Proportional Asymptotics: Phase Transitions under Linear Regression
329. NeurIPS 2026Symplectic Reck: In-Situ Learning of Gaussian Quantum Operations
330. NeurIPS 2026SynGS: Synergistic Continual Learning and Change Detection with Gaussian Splatting
331. NeurIPS 2026The Minimax Rate of Second-Order Calibration
332. NeurIPS 2026The Price of Locality in Label Privacy: Optimal Rates for Classification and Regression
333. NeurIPS 2026The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
334. NeurIPS 2026Towards Matrix-Parallel and Feature-Scalable 3D Gaussian Splatting Rendering on GPUs
335. NeurIPS 2026TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering
336. NeurIPS 2026U-MVP: Encode Locally, Decode Globally for Feed-Forward 3D Gaussian Splatting
337. NeurIPS 2026UltraVoxelGS: Voxel-First Feed-Forward Gaussian Splatting for 3D Ultrasound Reconstruction
338. NeurIPS 2026Umbilic Multinomial Logistic Regression
339. NeurIPS 2026UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering
340. NeurIPS 2026Very Fast Bayesian Additive Regression Trees on GPU
341. NeurIPS 2026When does LeJEPA learn a World Model?
342. CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
343. CVPR 20253D Gaussian Inpainting with Depth-Guided Cross-View Consistency
344. CVPR 20253D-GSW: 3D Gaussian Splatting for Robust Watermarking
345. CVPR 20253D-HGS: 3D Half-Gaussian Splatting
346. CVPR 20253DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
347. CVPR 20254D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
348. CVPR 2025ActiveGAMER: Active GAussian Mapping through Efficient Rendering
349. CVPR 2025AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction
350. CVPR 2025BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting

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.