conftrace_

bayesian neural network

201 papers

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Also known as

BNN

Co-occurring keywords

variational inference (2069) uncertainty quantification (1393) uncertainty estimation (648) gaussian process (1200) posterior distribution (259) posterior approximation (132) bayesian inference (1907) out-of-distribution detection (617) markov chain monte carlo (725) epistemic uncertainty (160)

Papers

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025
Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
Gradients of Functions of Large Matrices NIPS 2024
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NIPS 2024
Sampling-Resilient Multi-Object Tracking AAAI 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings NIPS 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NIPS 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
Reparameterization invariance in approximate Bayesian inference NIPS 2024
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023