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Probabilistic Modeling

2591 directly classified papers

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Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
A Bayesian account of pronoun and neopronoun acquisition NAACL 2025
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection AAAI 2025
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract) AAAI 2025
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation ACL 2025
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI 2025
Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025
Bold Claims or Self-Doubt? Factuality Hallucination Type Detection via Belief State EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Piecewise deterministic sampling with splitting schemes JMLR 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025