Probabilistic Modeling

Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems L4DC 2026 Elucidating the SNR-t Bias of Diffusion Probabilistic Models CVPR 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Eulerian Gaussian Splatting using Hashed Probability Pyramids CVPR 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 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 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 Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation CVPR 2026 Function-on-Function Bayesian Optimization 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 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation CVPR 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 How Should We Model the Probability of a Language? EACL 2026 Implicit Learning for Reasoning in First-Order Probabilistic Logic UAI 2026 Impute Missing Entries with Uncertainty AAAI 2026 Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026 Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds UAI 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026