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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews INTERSPEECH 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid L4DC 2024
Gaussian Process Neural Additive Models AAAI 2024
Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image CVPR 2023
Evidential Conditional Neural Processes AAAI 2023
Sentiment as an Ordinal Latent Variable EACL 2023
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification INTERSPEECH 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023
A Unifying Formal Approach to Importance Values in Boolean Functions IJCAI 2023
Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Multi Time Scale World Models NIPS 2023
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data NIPS 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023