Daniel T. Speckhard

According to our database, Daniel T. Speckhard authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Daniel T. Speckhard, Tim Bechtel, Sebastian Kehl, Jonathan Godwin, Claudia Draxl

CoRR, February, 2025

2024

Validity constraints for data analysis workflows.

Florian Schintke, Khalid Belhajjame, Ninon De Mecquenem, David Frantz, Vanessa Emanuela Guarino, Marcus Hilbrich, Fabian Lehmann, Paolo Missier, Rebecca Sattler, Jan Arne Sparka, Daniel T. Speckhard, Hermann Stolte, Anh Duc Vu, Ulf Leser

Future Gener. Comput. Syst., 2024

How big is Big Data?

Daniel T. Speckhard, Tim Bechtel, Luca M. Ghiringhelli, Martin Kuban, Santiago Rigamonti, Claudia Draxl

CoRR, 2024

2023

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

Daniel T. Speckhard, Karolis Misiunas, Sagi Perel, Tenghui Zhu, Simon Carlile, Malcolm Slaney

Neural Comput. Appl., June, 2023

excitingtools: An exciting Workflow Tool.

Alexander Buccheri, Fabian Peschel, Benedikt Maurer, Mara Voiculescu, Daniel T. Speckhard, Hannah Kleine, Elisa Stephan, Martin Kuban, Claudia Draxl

J. Open Source Softw., June, 2023

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

Tim Bechtel, Daniel T. Speckhard, Jonathan Godwin, Claudia Draxl

CoRR, 2023

Validity Constraints for Data Analysis Workflows.

Florian Schintke, Ninon De Mecquenem, David Frantz, Vanessa Emanuela Guarino, Marcus Hilbrich, Fabian Lehmann, Rebecca Sattler, Jan Arne Sparka, Daniel T. Speckhard, Hermann Stolte, Anh Duc Vu, Ulf Leser

CoRR, 2023

2022

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

Daniel T. Speckhard, Karolis Misiunas, Sagi Perel, Tenghui Zhu, Simon Carlile, Malcolm Slaney

CoRR, 2022