481 Results

Workshop	Fri 9:30	Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals Sina Akbarian · Qayam Jetha · Jouhyun Jeon
Poster	Thu 9:00	Asymptotic Properties for Bayesian Neural Network in Besov Space Kyeongwon Lee · Jaeyong Lee
Poster	Tue 14:00	Posterior Collapse of a Linear Latent Variable Model Zihao Wang · Liu Ziyin
Workshop		Bridging the Microwave Data Gap; Using Bayesian Deep Learning to “See” the Unseen Pedro Ortiz · Eleanor Casas · Marko Orescanin · Scott Powell
Workshop		Why are deep learning-based models of geophysical turbulence long-term unstable? Ashesh Chattopadhyay · Pedram Hassanzadeh
Poster	Thu 9:00	On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
Workshop		Contrasting random and learned features in deep Bayesian linear regression Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan
Poster	Wed 9:00	All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran · Simone Rossi · Dimitrios Milios · Maurizio Filippone
Poster	Tue 14:00	Pyramid Attention For Source Code Summarization Lei Chai · Ming LI
Poster	Wed 9:00	Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu · Shangqun Yu · Michael Littman · George Konidaris
Poster		Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng · Feng Zhou · Jun Zhu
Workshop		Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso · Matthia Sabatelli · Marco Wiering