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Simon Meierhans
Simon Meierhans
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Title
Cited by
Cited by
Year
Transformations of high-level synthesis codes for high-performance computing
J de fine Licht, M Besta, S Meierhans, T Hoefler
IEEE Transactions on Parallel and Distributed Systems, 2020
1212020
Content adaptive optimization for neural image compression
J Campos, S Meierhans, A Djelouah, C Schroers
arXiv preprint arXiv:1906.01223, 2019
60*2019
Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, st Shortest Path, and Minimum-Cost Flow
L Chen, R Kyng, YP Liu, S Meierhans, M Probst Gutenberg
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1165-1173, 2024
72024
Derandomizing directed random walks in almost-linear time
R Kyng, S Meierhans, M Probst
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
62022
Incremental SSSP for Sparse Digraphs Beyond the Hopset Barrier∗
R Kyng, S Meierhans, MP Gutenberg
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
62022
A dynamic shortest paths toolbox: Low-congestion vertex sparsifiers and their applications
R Kyng, S Meierhans, M Probst Gutenberg
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1174-1183, 2024
52024
Content Adaptive Optimization for Neural Data Compression
C Schroers, S Meierhans, J Campos, J Mcphillen, A Djelouah, EV Doggett, ...
US Patent 11,057,634, 2020
52020
Resilient dictionaries for randomly unreliable memory
S Leucci, CH Liu, S Meierhans
27th Annual European Symposium on Algorithms (ESA 2019), 2019
52019
Bootstrapping Dynamic APSP via Sparsification
R Kyng, S Meierhans, G Zöcklein
arXiv preprint arXiv:2408.11375, 2024
2024
A Simple Dynamic Spanner via APSP
R Kyng, S Meierhans, G Zöcklein
arXiv preprint arXiv:2408.11368, 2024
2024
Almost-Linear Time Algorithms for Decremental Graphs: Min-Cost Flow and More via Duality
J Brand, L Chen, R Kyng, YP Liu, S Meierhans, MP Gutenberg, ...
arXiv preprint arXiv:2407.10830, 2024
2024
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