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Light differentiable logic gate networks
Reparametrizing differentiable logic gate networks to make them more lightweight and scalable.
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Light differentiable logic gate networks
Under review, 2025
Reparametrizing DLGNs.
Recommended citation: Lukas Rüttgers, Till Aczel, Andreas Plesner, Roger Wattenhofer. (2025). "Light Differentiable Logic Gate Networks." Under review. 1(1).
Download Paper | Download Slides | Download Bibtex
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Bachelor of Science
Computer Science, RWTH Aachen University, Department of Computer Science, 2020
GPA: 1.0 (top 2\% throughout the entire programme)
Master of Science
Computer Science, ETH Zurich, Department of Computer Science, 2024
Focus: ML, ML Theory, High-performance computing, Robotics
