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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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Affinity Workshop
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MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
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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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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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Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
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Workshop
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández-Lobato
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Poster
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Wed 9:00
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Globally Gated Deep Linear Networks
Qianyi Li · Haim Sompolinsky
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Poster
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Tue 14:00
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Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello · Thomas FEL · David Vigouroux
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Poster
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Thu 14:00
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Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
Eshaan Nichani · Yu Bai · Jason Lee
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Poster
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Wed 9:00
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Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic
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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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Thu 14:00
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SKFlow: Learning Optical Flow with Super Kernels
SHANGKUN SUN · Yuanqi Chen · Yu Zhu · Guodong Guo · Ge Li
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