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