Daniel T. Speckhard

Orcid: 0000-0002-9849-0022

According to our database¹, Daniel T. Speckhard authored at least 10 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2026

Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

2025

Grid Topology Estimation using an Information Theoretic Approach.

[BibT_eX]

[DOI]

Daniel T. Speckhard

CoRR, May, 2025

Analysis of static and dynamic batching algorithms for graph neural networks.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Validity constraints for data analysis workflows.

[BibT_eX]

[DOI]

Vanessa Emanuela Guarino

Future Gener. Comput. Syst., 2024

How big is Big Data?

[BibT_eX]

[DOI]

CoRR, 2024

2023

Neural architecture search for energy-efficient always-on audio machine learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., June, 2023

excitingtools: An exciting Workflow Tool.

[BibT_eX]

[DOI]

J. Open Source Softw., June, 2023

Band-gap regression with architecture-optimized message-passing neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

Validity Constraints for Data Analysis Workflows.

[BibT_eX]

[DOI]

Florian Schintke

Ninon De Mecquenem

David Frantz

Vanessa Emanuela Guarino

CoRR, 2023

2022

Neural Architecture Search for Energy Efficient Always-on Audio Models.

[BibT_eX]

[DOI]

CoRR, 2022

Daniel T. Speckhard

Timeline

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Links

On csauthors.net:

Bibliography

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