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 6 of 7

251. NeurIPS 2025Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
252. NeurIPS 2025Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
253. NeurIPS 2025Gaussian Processes for Shuffled Regression
254. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
255. NeurIPS 2025Go With the Flow: Fast Diffusion for Gaussian Mixture Models
256. NeurIPS 2025GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis
257. NeurIPS 2025H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
258. NeurIPS 2025HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
259. NeurIPS 2025HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis
260. NeurIPS 2025Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
261. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
262. NeurIPS 2025Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
263. NeurIPS 2025Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
264. NeurIPS 2025Infinite Neural Operators: Gaussian processes on functions
265. NeurIPS 2025Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs
266. NeurIPS 2025Instant4D: 4D Gaussian Splatting in Minutes
267. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
268. NeurIPS 2025LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
269. NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
270. NeurIPS 2025Linear Mixture Distributionally Robust Markov Decision Processes
271. NeurIPS 2025LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
272. NeurIPS 2025Markov Persuasion Processes: Learning to Persuade From Scratch
273. NeurIPS 2025MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
274. NeurIPS 2025MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
275. NeurIPS 2025Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
276. NeurIPS 2025Modeling Neural Activity with Conditionally Linear Dynamical Systems
277. NeurIPS 2025Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
278. NeurIPS 2025MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
279. NeurIPS 2025No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
280. NeurIPS 2025Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
281. NeurIPS 2025NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
282. NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
283. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
284. NeurIPS 2025Optimized Minimal 3D Gaussian Splatting
285. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
286. NeurIPS 2025Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
287. NeurIPS 2025ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos
288. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
289. NeurIPS 2025Quantitative convergence of trained neural networks to Gaussian processes
290. NeurIPS 2025Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
291. NeurIPS 2025Recurrent Memory for Online Interdomain Gaussian Processes
292. NeurIPS 2025Regression Trees Know Calculus
293. NeurIPS 2025Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
294. NeurIPS 2025Resolution of Simpson's paradox via the common cause principle
295. NeurIPS 2025Rethinking Approximate Gaussian Inference in Classification
296. NeurIPS 2025Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
297. NeurIPS 2025Robust and Computation-Aware Gaussian Processes
298. NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
299. NeurIPS 2025Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
300. NeurIPS 2025Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks

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.