Bayesian & Probabilistic

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification CVPR 2023 Expressive probabilistic sampling in recurrent neural networks NeurIPS 2023 Factor Graph Neural Networks JMLR 2023 Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems Interspeech 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness AAAI 2023 Federated Learning via Meta-Variational Dropout NeurIPS 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023 Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory NeurIPS 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 Flat Seeking Bayesian Neural Networks NeurIPS 2023 FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 ForecastPFN: Synthetically-Trained Zero-Shot Forecasting NeurIPS 2023 Formal Verification of Bayesian Mechanisms AAAI 2023 Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NeurIPS 2023 Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023 Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023 From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms JMLR 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023 Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023 FUSSL: Fuzzy Uncertain Self Supervised Learning WACV 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023