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Simon Wiedemann

A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography

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Nov 09, 2023
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Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning

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Jun 09, 2022
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FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons

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Dec 17, 2020
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Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training

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Apr 16, 2020
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Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)

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Apr 02, 2020
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Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning

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Dec 18, 2019
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DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

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Jul 27, 2019
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DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression

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May 15, 2019
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Robust and Communication-Efficient Federated Learning from Non-IID Data

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Mar 07, 2019
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Entropy-Constrained Training of Deep Neural Networks

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Dec 19, 2018
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