Bayesian Inference
6,267 papers
Papers per year
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104
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Papers
Flow-Induced Diagonal Gaussian Processes
AAAI 2026
FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction
CVPR 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
AAAI 2026
Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks
AAAI 2026
Function-on-Function Bayesian Optimization
AAAI 2026
Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network
AAAI 2026
GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems
AAAI 2026
Hierarchical Causal Models
JMLR 2026
Impute Missing Entries with Uncertainty
AAAI 2026
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
AAAI 2026
Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs
AAAI 2026
Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths
AAAI 2026
Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models
WACV 2026
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
COLT 2026
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
AAAI 2026
Latent Uncertainty-Aware Multi-View SDF Scan Completion
WACV 2026
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
L4DC 2026
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
AAAI 2026
LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks
AAAI 2026
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
EACL 2026
MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory
EACL 2026
Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities
AAAI 2026
Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
JMLR 2026
Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection
WACV 2026
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
AAAI 2026