Probabilistic Modeling

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation ICCV 2023 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Conditional Quantile Neural Processes UAI 2023 Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023 Adversarial Counterfactual Visual Explanations CVPR 2023 A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023 A Heavy-Tailed Algebra for Probabilistic Programming NeurIPS 2023 A Kernelized Stein Discrepancy for Biological Sequences ICML 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023 An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023 An Eigenmodel for Dynamic Multilayer Networks JMLR 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NeurIPS 2023 An Ordinal Latent Variable Model of Conflict Intensity ACL 2023 Approximate Inference in Logical Credal Networks IJCAI 2023 Approximate inference of marginals using the IBIA framework NeurIPS 2023 A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image CVPR 2023 A Probabilistic Framework for Discovering New Intents ACL 2023 A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation ICLR 2023 A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 ASTRA: Understanding the practical impact of robustness for probabilistic programs UAI 2023