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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
The neural dynamics of word recognition and integration EMNLP 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NIPS 2023
The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Learning Choice Functions with Gaussian Processes UAI 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NIPS 2023
A Heavy-Tailed Algebra for Probabilistic Programming NIPS 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NIPS 2023
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models ICCV 2023
Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting NIPS 2023
Compression with Bayesian Implicit Neural Representations NIPS 2023
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting JMLR 2022
Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022
Sparse Additive Gaussian Process Regression JMLR 2022