Bayesian & Probabilistic

Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026 Label-Wise uncertainty decomposition for Multi-label Classification by Maximizing Type II Likelihood UAI 2026 Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026 Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions ACL 2026 Latent Diffusion Inversion Requires Understanding the Latent Space CVPR 2026 LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport JMLR 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Learning Bayesian and Markov Networks with an Unreliable Oracle UAI 2026 Learning Bayesian Network Classifiers to Minimize Class Variable Parameters JMLR 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics UAI 2026 Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes UAI 2026 Learning Straight Flows: Variational Flow Matching for Efficient Generation CVPR 2026 Learning to Infer Fast by Attending to Sparse Temporal Observations UAI 2026 Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation CVPR 2026 LENS: Latent Precision Inference in Multi-LLM Routing UAI 2026 Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026 LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight ACL 2026 LogicCBMs: Logic-Enhanced Concept-Based Learning WACV 2026 Lorentz Entailment Cone for Semantic Segmentation WACV 2026 MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions UAI 2026 MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026 METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026 Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression JMLR 2026