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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Qualitative Mechanism Independence NIPS 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images NIPS 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Uncertainty Regularized Evidential Regression AAAI 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Sparse Variational Student-t Processes AAAI 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Quasi-Bayes meets Vines NIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024