bayesian deep learning

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions UAI 2026 Towards Knowledge-augmented Bayesian Deep Learning For Computer Vision CVPR 2026 Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections AISTATS 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 Discovering Directions of Uncertainty in Speech Inpainting Interspeech 2025 Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025 Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025 Streamlining Prediction in Bayesian Deep Learning ICLR 2025 Temperature Optimization for Bayesian Deep Learning UAI 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 Entropy-MCMC: Sampling from Flat Basins with Ease ICLR 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions CoRL 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023