Probabilistic Modeling
3,137 papers
Papers per year
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Papers
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
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
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 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
Do Bayesian Neural Networks Actually Behave Like Bayesian Models?
ICML 2025
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection
CVPR 2025
ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation
COLING 2025
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract)
AAAI 2025
Evidential Knowledge Distillation
ICCV 2025
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR 2025