Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
5
7
4
9
71
90
96
90
127
113
152
198
196
168
213
197
273
389
460
470
455
481
482
385
273
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Eulerian Gaussian Splatting using Hashed Probability Pyramids
CVPR 2026
EVIA: Entropic Variational Inference Auto-encoding
UAI 2026
Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
AAAI 2026
Evidential Neural Radiance Fields
CVPR 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
AAAI 2026
Exact Uncertainty Propagation via Gaussian Process Neurons
UAI 2026
Exploiting Concavity Information in Contextual Bandit Optimization
UAI 2026
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
JMLR 2026
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation
AAAI 2026
FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
CVPR 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
AAAI 2026
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
JMLR 2026
FisherPoser: Human Motion Estimation from Sparse Observations with Hierarchical Region-Wise Fisher-Matrix Uncertainty Modeling
CVPR 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
AAAI 2026
From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities
UAI 2026
From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation
CVPR 2026
Function-on-Function Bayesian Optimization
AAAI 2026
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
UAI 2026
GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs
AAAI 2026
General Bayesian Policy Learning
UAI 2026
Generative Bayesian Inference with GANs
JMLR 2026
Generative Diffusion Priors for 3D Mapping of the Dark Universe
CVPR 2026
GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating
AAAI 2026
GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection
CVPR 2026
GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment
AAAI 2026