Probabilistic Modeling

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs EMNLP 2025 Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 Error Detection for Multimodal Classification NAACL 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025 Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025 Extending Complex Logical Queries on Uncertain Knowledge Graphs ACL 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 Factor Analysis with Correlated Topic Model for Multi-Modal Data AISTATS 2025 FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025 Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks AAAI 2025 Feature Attribution for Deep Learning Models through Total Variance Decomposition MIDL 2025 Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025 Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Flow-Based Delayed Hawkes Process UAI 2025 From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction CVPR 2025 Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025 Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge UAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025 GRASP at CoMeDi Shared Task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments COLING 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks AISTATS 2025