Probabilistic Modeling

Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Compression with Bayesian Implicit Neural Representations NeurIPS 2023 Conditional Matrix Flows for Gaussian Graphical Models NeurIPS 2023 Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators COLT 2023 Continuously Parameterized Mixture Models ICML 2023 Continuous Mixtures of Tractable Probabilistic Models AAAI 2023 Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023 Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023 Counting and Sampling Models in First-Order Logic IJCAI 2023 Credal Marginal MAP NeurIPS 2023 Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems NeurIPS 2023 Deep Gaussian mixture ensembles UAI 2023 DeePMOS: Deep Posterior Mean-Opinion-Score of Speech Interspeech 2023 DeepPSL: End-to-End Perception and Reasoning IJCAI 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain ACML 2023 Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023 Detecting Sources of Healthcare Associated Infections AAAI 2023 Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection NeurIPS 2023 Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Trade-off in Speech Signal Data Interspeech 2023 Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation ICCV 2023 Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NeurIPS 2023 D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field ICCV 2023 DINO as a von Mises-Fisher mixture model ICLR 2023