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Boehm, Matthias
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1

DAPHNE Runtime: Harnessing Parallelism for Integrated Data ..:

, In: Lecture Notes in Computer Science; Euro-Par 2023: Parallel Processing Workshops,
Vontzalidis, Aristotelis ; Psomadakis, Stratos ; Bitsakos, Constantinos... - p. 242-246 , 2024
Link: https://doi.org/10.1007/..
 
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2

PLUTUS: Understanding Data Distribution Tailoring for Machi..:

, In: Companion of the 2024 International Conference on Management of Data,
Chang, Jiwon ; Dionysio, Christina ; Nargesian, Fatemeh. - p. 528-531 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Seventh Workshop on Data Management for End-to-End Machine ..:

, In: Companion of the 2023 International Conference on Management of Data,
Boehm, Matthias ; Hulsebos, Madelon ; Shankar, Shreya. - p. 305-306 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Optimizing Tensor Computations: From Applications to Compil..:

, In: Companion of the 2023 International Conference on Management of Data,
Boehm, Matthias ; Interlandi, Matteo ; Jermaine, Chris - p. 53-59 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Federated Data Preparation, Learning, and Debugging in Apac..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Baunsgaard, Sebastian ; Boehm, Matthias ; Innerebner, Kevin... - p. 4813-4817 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

DEEM'22: Data Management for End-to-End Machine Learning:

, In: Proceedings of the 2022 International Conference on Management of Data,
Boehm, Matthias ; Varma, Paroma ; Xin, Doris - p. 2548-2549 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

ExDRa: Exploratory Data Science on Federated Raw Data:

, In: Proceedings of the 2021 International Conference on Management of Data,
Baunsgaard, Sebastian ; Boehm, Matthias ; Chaudhary, Ankit... - p. 2450-2463 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

LIMA: Fine-grained Lineage Tracing and Reuse in Machine Lea..:

, In: Proceedings of the 2021 International Conference on Management of Data,
Phani, Arnab ; Rath, Benjamin ; Boehm, Matthias - p. 1426-1439 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

SliceLine: Fast, Linear-Algebra-based Slice Finding for ML ..:

, In: Proceedings of the 2021 International Conference on Management of Data,
Sagadeeva, Svetlana ; Boehm, Matthias - p. 2290-2299 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Session details: Research 11: Systems & Machine Learning:

, In: Proceedings of the 2019 International Conference on Management of Data,
Boehm, Matthias , 2019
Link: https://dl.acm.org/doi/1..
 
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11

MNC : Structure-Exploiting Sparsity Estimation for Matri..:

, In: Proceedings of the 2019 International Conference on Management of Data,
Sommer, Johanna ; Boehm, Matthias ; Evfimievski, Alexandre V... - p. 1607-1623 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Data Management in Machine Learning : Challenges, Techni..:

, In: Proceedings of the 2017 ACM International Conference on Management of Data,
Kumar, Arun ; Boehm, Matthias ; Yang, Jun - p. 1717-1722 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

Resource Elasticity for Large-Scale Machine Learning:

, In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data,
Huang, Botong ; Boehm, Matthias ; Tian, Yuanyuan... - p. 137-152 , 2015
Link: https://dl.acm.org/doi/1..
 
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14

On optimizing machine learning workloads via kernel fusion:

, In: Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Ashari, Arash ; Tatikonda, Shirish ; Boehm, Matthias... - p. 173-182 , 2015
Link: https://dl.acm.org/doi/1..
 
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15

Data management in the MIRABEL smart grid system:

, In: Proceedings of the 2012 Joint EDBT/ICDT Workshops,
Boehm, Matthias ; Dannecker, Lars ; Doms, Andreas... - p. 95-102 , 2012
Link: https://dl.acm.org/doi/1..
 
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