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Optimizing neural networks via an inverse scale space flow.
PyTorch Implementation of the CLIP Algorithm
Polarized consensus-based particle dynamics
Latex Beamer template in accordance with the FAU corporate design manual.
Poster for the Bregmanized sparse learning framework
Repositories
25Optimizing neural networks via an inverse scale space flow.
This repo collects papers on the math of transformers
Code for the talk in the Seminar "Data Science in Forschung und Industrie"
Latex Beamer template in accordance with the FAU corporate design manual.
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Repository for my website at https://timroith.github.io/.
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Code for the Paper "Adversarial Flows"
PyTorch Implementation of the CLIP Algorithm
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Poster for the Bregmanized sparse learning framework
Coding challenge
LaTeX template for a math thesis consistent with the requirements of FAU.
Polarized consensus-based particle dynamics
Advent of Code 2023
Convergence rates for very sparse graphs - Poster at FOCM 2023
PhD Thesis of Tim Roith
A curated list of neural network pruning resources.
A community dedicated to supporting tools for technical and scientific communication and interactive computing
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