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Probabilistic Modeling

2,599 papers

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Papers

MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction WACV 2026

SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026

Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026

Lorentz Entailment Cone for Semantic Segmentation WACV 2026

LogicCBMs: Logic-Enhanced Concept-Based Learning WACV 2026

Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026

A Unified View on Emotion Representation in Large Language Models EACL 2026

Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026

The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026

How Should We Model the Probability of a Language? EACL 2026

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026

SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design AAAI 2026

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026

Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026

Variance Computation for Weighted Model Counting with Knowledge Compilation Approach AAAI 2026

ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias AAAI 2026

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026

Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference AAAI 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026

Function-on-Function Bayesian Optimization AAAI 2026