Probabilistic Modeling

Across-animal odor decoding by probabilistic manifold alignment NeurIPS 2021 Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NeurIPS 2021 Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 Active Safety Envelopes using Light Curtains with Probabilistic Guarantees RSS 2021 Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews EACL 2021 Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition CVPR 2021 A Game-Theoretic Account of Responsibility Allocation IJCAI 2021 A general linear-time inference method for Gaussian Processes on one dimension JMLR 2021 A generative nonparametric Bayesian model for whole genomes NeurIPS 2021 A Hybrid Probabilistic Approach for Table Understanding AAAI 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021 Amortized Variational Inference for Simple Hierarchical Models NeurIPS 2021 An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021 An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis IJCAI 2021 A New Bounding Scheme for Influence Diagrams AAAI 2021 Annealed Flow Transport Monte Carlo ICML 2021 Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories MLHC 2021 Approximate implication with d-separation UAI 2021 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NeurIPS 2021 A statistical theory of cold posteriors in deep neural networks ICLR 2021 A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021