probabilistic modeling

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NeurIPS 2024 Convergence Behavior of an Adversarial Weak Supervision Method UAI 2024 CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context NeurIPS 2024 EigenVI: score-based variational inference with orthogonal function expansions NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Estimating Agreement by Chance for Sequence Annotation ACL 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024 Foundation Inference Models for Markov Jump Processes NeurIPS 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 Future Language Modeling from Temporal Document History ICLR 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 Generative Marginalization Models ICML 2024 Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition COLING 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NeurIPS 2024