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Christopher Zach

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Two Tales of Single-Phase Contrastive Hebbian Learning

Feb 13, 2024
Rasmus Kjær Høier, Christopher Zach

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Fully Variational Noise-Contrastive Estimation

Apr 04, 2023
Christopher Zach

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Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

Feb 02, 2023
Rasmus Høier, D. Staudt, Christopher Zach

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Extremely Low-light Image Enhancement with Scene Text Restoration

Apr 01, 2022
Pohao Hsu, Che-Tsung Lin, Chun Chet Ng, Jie-Long Kew, Mei Yih Tan, Shang-Hong Lai, Chee Seng Chan, Christopher Zach

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AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks

Dec 06, 2021
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach

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BabelCalib: A Universal Approach to Calibrating Central Cameras

Sep 20, 2021
Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts

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Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods

May 15, 2021
Christopher Zach

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Escaping Poor Local Minima in Large Scale Robust Estimation

Feb 22, 2021
Huu Le, Christopher Zach

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Progressive Batching for Efficient Non-linear Least Squares

Oct 21, 2020
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford

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Lifted Regression/Reconstruction Networks

May 07, 2020
Rasmus Kjær Høier, Christopher Zach

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