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Probabilistic Modeling

2,599 papers

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Papers

Factor Graph Neural Networks JMLR 2023
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity JMLR 2023
GFlowNet Foundations JMLR 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Topological Hidden Markov Models JMLR 2023
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
Model-based Validation as Probabilistic Inference L4DC 2023
Probabilistic Symmetry for Multi-Agent Dynamics L4DC 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement SEMEVAL 2023
Learning Choice Functions with Gaussian Processes UAI 2023
Scaling integer arithmetic in probabilistic programs UAI 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023
Neural probabilistic logic programming in discrete-continuous domains UAI 2023
Deep Gaussian mixture ensembles UAI 2023
On inference and learning with probabilistic generating circuits UAI 2023
ASTRA: Understanding the practical impact of robustness for probabilistic programs UAI 2023
Knowledge Intensive Learning of Cutset Networks UAI 2023
Adaptive Conditional Quantile Neural Processes UAI 2023
Probabilistic Multi-Dimensional Classification UAI 2023
Inference for probabilistic dependency graphs UAI 2023
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference UAI 2023
Exploiting Inferential Structure in Neural Processes UAI 2023