Probabilistic Modeling

EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025 Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling ICML 2025 FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025 False Coverage Proportion Control for Conformal Prediction ICML 2025 Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework ICML 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Flow-Based Delayed Hawkes Process UAI 2025 Flow Stochastic Segmentation Networks ICCV 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions ICLR 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 Fully Heteroscedastic Count Regression with Deep Double Poisson Networks ICML 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems ICLR 2025 Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025 General Uncertainty Estimation with Delta Variances AAAI 2025 GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models EMNLP 2025 Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold UAI 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025 Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals UAI 2025 Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection WACV 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Infinite-dimensional Diffusion Bridge Simulation via Operator Learning AISTATS 2025 InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis UAI 2025