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https://openreview.net/forum?id=Hy-po5NFx Efficient variational Bayesian neural network ensembles for outlier detection | OpenReview Efficient variational approximation of neural network parameters applied to outlier detection. bayesian neural network outlier detection efficient variational ensembles https://openreview.net/forum?id=rk4Qso0cKm Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network | OpenReview We design an adversarial training method to Bayesian neural networks, showing a much stronger defense to white-box adversarial attacks bayesian neural network adv bnn improved defense https://www.preprints.org/manuscript/202409.2211 Bayesian Neural Network-Based Approach for Probabilistic Prediction of Building Energy Demands[v1]... Reliable prediction of building-level energy demand is crucial for the building managers to optimize and regulate energy consumption. Conventional prediction... bayesian neural network https://openreview.net/forum?id=xkjqJYqRJy&referrer=%5Bthe%20profile%20of%20Florian%20Wenzel%5D(%2Fprofile%3Fid%3D~Florian_Wenzel1) Bayesian Neural Network Priors Revisited | OpenReview Isotropic Gaussian priors are the de facto standard for modern Bayesian neural network inference. However, it is unclear whether these priors accurately... bayesian neural network priors revisited openreview https://deepai.org/publication/adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network | DeepAI Oct 1, 2018 - 10/01/18 - We present a new algorithm to train a robust neural network against adversarial attacks. Our algorithm is motivated by the followi... bayesian neural network adv bnn improved defense https://openreview.net/forum?id=y5ziOXtKybL&referrer=%5Bthe%20profile%20of%20Kyeongwon%20Lee%5D(%2Fprofile%3Fid%3D~Kyeongwon_Lee1) Asymptotic Properties for Bayesian Neural Network in Besov Space | OpenReview We propose a practical Bayesian neural network with guaranteed asymptotic properties bayesian neural network besov space asymptotic properties openreview https://openreview.net/forum?id=wiHzQWwg3l Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation |... This paper builds on a connection between Bayesian neural network(BNN) and continuous-time stochastic dynamical system, thereby proposing extrapolative... bayesian neural network continuous time https://jmlr.org/papers/v26/22-0246.html Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior