Mark Blacher

Orcid: 0009-0007-2009-7996

According to our database1, Mark Blacher authored at least 12 papers between 2020 and 2024.

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Bibliography

2024
Optimizing Tensor Contraction Paths: A Greedy Algorithm Approach With Improved Cost Functions.
CoRR, 2024

Improved Cut Strategy for Tensor Network Contraction Orders.
Proceedings of the 22nd International Symposium on Experimental Algorithms, 2024

Model Counting and Sampling via Semiring Extensions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A visual analytics workflow for probabilistic modeling.
Vis. Informatics, June, 2023

Efficient and Portable Einstein Summation in SQL.
Proc. ACM Manag. Data, 2023

Compiling Tensor Expressions into Einsum.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Vectorized and performance-portable quicksort.
Softw. Pract. Exp., 2022

Compiling Linear Algebra Expressions into Efficient Code.
Proceedings of the Computational Science - ICCS 2022, 2022

Machine Learning, Linear Algebra, and More: Is SQL All You Need?
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Optimization for Classical Machine Learning Problems on the GPU.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fast and Robust Vectorized In-Place Sorting of Primitive Types.
Proceedings of the 19th International Symposium on Experimental Algorithms, 2021

2020
Fast Entity Resolution With Mock Labels and Sorted Integer Sets.
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020


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