Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulationby Yifan Chen, Bamdad Hosseini,…
Epanechnikov Variational Autoencoderby Tian Qin, Wei-Min HuangFirst submitted to arxiv on: 21 May 2024CategoriesMain: Machine…
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theoryby Igor…
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Languageby James Requeima, John Bronskill, Dami Choi,…
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniquesby Manh Khoi Duong, Stefan ConradFirst…
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservationby Andres Hernandez, Zhongqi Miao, Luisa Vargas, Sara…
Can We Treat Noisy Labels as Accurate?by Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao,…
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descentby Holger Dette, Carina GrawFirst…
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activationsby Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà First…
Model Free Prediction with Uncertainty Assessmentby Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng…