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Poster
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On Representing Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
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Poster
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Implicit Regularization for Group Sparsity
Jiangyuan Li · THANH NGUYEN · Chinmay Hegde · Raymond K. W. Wong
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Poster
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Wed 7:30
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On The Specialization of Neural Modules
Devon Jarvis · Richard Klein · Benjamin Rosman · Andrew Saxe
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Poster
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Tue 7:30
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Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
Guy Hacohen · Daphna Weinshall
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Poster
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Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
Tianyu Zhao · Xiang Pan · Minghua Chen · Steven Low
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Poster
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Mon 2:30
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Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters
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Poster
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Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
Christian Haase · Christoph Hertrich · Georg Loho
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Poster
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Tue 7:30
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Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
SOUVIK KUNDU · Shunlin Lu · Yuke Zhang · Jacqueline Liu · Peter Beerel
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
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Poster
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On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
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Workshop
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Thu 1:06
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CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs
Konstantin Hemker · Zohreh Shams · Mateja Jamnik
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Poster
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Tue 2:30
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Sampling-based inference for large linear models, with application to linearised Laplace
Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato
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