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 10 of 21

451. CVPR 2025Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
452. CVPR 2025Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images
453. CVPR 2025Steepest Descent Density Control for Compact 3D Gaussian Splatting
454. CVPR 2025SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
455. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
456. CVPR 2025TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
457. CVPR 2025Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
458. CVPR 2025Towards Realistic Example-based Modeling via 3D Gaussian Stitching
459. CVPR 2025UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
460. CVPR 2025USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
461. CVPR 2025UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
462. CVPR 2025Volumetrically Consistent 3D Gaussian Rasterization
463. CVPR 2025VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction
464. CVPR 2025WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments
465. ICLR 20256DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
466. ICLR 2025Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
467. ICLR 2025Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
468. ICLR 2025Bayesian Analysis of Combinatorial Gaussian Process Bandits
469. ICLR 2025Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
470. ICLR 2025Boosting Methods for Interval-censored Data with Regression and Classification
471. ICLR 2025Deep Kernel Posterior Learning under Infinite Variance Prior Weights
472. ICLR 2025Deep Random Features for Scalable Interpolation of Spatiotemporal Data
473. ICLR 2025Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
474. ICLR 2025Dimension Agnostic Neural Processes
475. ICLR 2025Distribution-Specific Agnostic Conditional Classification With Halfspaces
476. ICLR 2025End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
477. ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
478. ICLR 2025Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
479. ICLR 2025Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
480. ICLR 2025Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
481. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
482. ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
483. ICLR 2025Improved Sampling Algorithms for Lévy-Itô Diffusion Models
484. ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
485. ICLR 2025Linear SCM Identification in the Presence of Confounders and Gaussian Noise
486. ICLR 2025Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
487. ICLR 2025MLPs Learn In-Context on Regression and Classification Tasks
488. ICLR 2025Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
489. ICLR 2025Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
490. ICLR 2025On Scaling Up 3D Gaussian Splatting Training
491. ICLR 2025Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
492. ICLR 2025Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
493. ICLR 2025Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
494. ICLR 2025Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
495. ICLR 2025ReMatching Dynamic Reconstruction Flow
496. ICLR 2025Residual Deep Gaussian Processes on Manifolds
497. ICLR 2025Robust Simulation-Based Inference under Missing Data via Neural Processes
498. ICLR 2025SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
499. ICLR 2025Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
500. ICLR 2025Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization

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.