Bayesian & Probabilistic

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification ICLR 2025 Credibility-Aware Multimodal Fusion Using Probabilistic Circuits AISTATS 2025 CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty ICML 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025 DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning JMLR 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025 Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention ICML 2025 Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations AISTATS 2025 DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training ICLR 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 Differentiable Causal Discovery for Latent Hierarchical Causal Models ICLR 2025 Diffusion Models under Group Transformations AISTATS 2025 Dimension-Independent Rates for Structured Neural Density Estimation ICML 2025 Discovering Directions of Uncertainty in Speech Inpainting Interspeech 2025 Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA ICLR 2025 Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions ICML 2025 Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables ICLR 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025 DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing L4DC 2025 Do Bayesian Neural Networks Actually Behave Like Bayesian Models? ICML 2025