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Probabilistic Modeling

2,599 papers

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Papers

Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023
Physics-Guided Human Motion Capture with Pose Probability Modeling IJCAI 2023
A Unifying Formal Approach to Importance Values in Boolean Functions IJCAI 2023
Sequence Learning Using Equilibrium Propagation IJCAI 2023
DeepPSL: End-to-End Perception and Reasoning IJCAI 2023
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models IJCAI 2023
Approximate Inference in Logical Credal Networks IJCAI 2023
Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023
The Hardness of Reasoning about Probabilities and Causality IJCAI 2023
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract) IJCAI 2023
Counting and Sampling Models in First-Order Logic IJCAI 2023
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs IJCAI 2023
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification INTERSPEECH 2023
Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Trade-off in Speech Signal Data INTERSPEECH 2023
Distilling knowledge from Gaussian process teacher to neural network student INTERSPEECH 2023
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech INTERSPEECH 2023
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization INTERSPEECH 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023
An Eigenmodel for Dynamic Multilayer Networks JMLR 2023