Probabilistic Modeling

MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model CVPR 2023 Martingale Posterior Neural Processes ICLR 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement SemEval 2023 Mixtures of All Trees AISTATS 2023 Model-based Validation as Probabilistic Inference L4DC 2023 Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Multi Time Scale World Models NeurIPS 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract) IJCAI 2023 NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs IJCAI 2023 Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NeurIPS 2023 Neural Diffusion Processes ICML 2023 Neural Markov Jump Processes ICML 2023 Neural probabilistic logic programming in discrete-continuous domains UAI 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 Non-adversarial training of Neural SDEs with signature kernel scores NeurIPS 2023 Normalizing Flows for Human Pose Anomaly Detection ICCV 2023 NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery ACL 2023 Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy NeurIPS 2023 On inference and learning with probabilistic generating circuits UAI 2023