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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

GAUCHE: A Library for Gaussian Processes in Chemistry NIPS 2023
Exploiting Inferential Structure in Neural Processes UAI 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NIPS 2023
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Thin and deep Gaussian processes NIPS 2023
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NIPS 2023
Probabilistic Multi-Dimensional Classification UAI 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NIPS 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NIPS 2023
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023
Probabilistic Volumetric Fusion for Dense Monocular SLAM WACV 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023
Inference for probabilistic dependency graphs UAI 2023
Bayesian Learning via Q-Exponential Process NIPS 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NIPS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NIPS 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023