Daniel Burkhardt

According to our database, Daniel Burkhardt authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Overcoming Knowledge Discrepancies: Structuring Reasoning Threads through Knowledge Balancing in Interactive Scenarios.

Daniel Burkhardt, Xiangwei Cheng

CoRR, August, 2025

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop.

Elizabeth Fahsbender, Alma Andersson, Jeremy Ash, Polina Binder, Daniel Burkhardt, Benjamin Chang, Georg K. Gerber, Anthony Gitter, Patrick Godau, Ankit Gupta, Genevieve Haliburton, Siyu He, Trey Ideker, Ivana Jelic, Aly Khan, Yang-Joon Kim, Aditi Krishnapriyan, Jon M. Laurent, Tianyu Liu, Emma Lundberg, Shalin B. Mehta, Rob Moccia, Angela Oliveira Pisco, Katherine S. Pollard, Suresh Ramani, Julio Saez-Rodriguez, Yasin Senbabaoglu, Elana Simon, Srinivasan Sivanandan, Gustavo Stolovitzky, Marc Valer, Bo Wang, Xikun Zhang, James Zou, Katrina Kalantar

CoRR, July, 2025

2024

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types.

Artur Szalata, Andrew Benz, Robrecht Cannoodt, Mauricio Cortes, Jason Fong, Sunil Kuppasani, Richard Lieberman, Tianyu Liu, Javier Mas-Rosario, Rico Meinl, Jalil Nourisa, Jared Tumiel, Tin M. Tunjic, Mengbo Wang, Noah Weber, Hongyu Zhao, Benedict Anchang, Fabian J. Theis, Malte Luecken, Daniel Burkhardt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

A Model Design to evaluate Processes for Autonomization.

Daniel Burkhardt, Nico Enders, Heiner Lasi

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.

Malte Lücken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, Bony de Kumar, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian J. Theis, Jonathan M. Bloom

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Design Patterns based on Deep Learning analyzing Distributed Data.

Daniel Burkhardt, Nana Agyei-Kena, Patrick Frey, Sven Kurrle, Heiner Lasi

Proceedings of the Entwicklungen, 2020

A Conceptual Model of Data-Driven Solutions.

Daniel Burkhardt, Heiner Lasi

Proceedings of the 26th Americas Conference on Information Systems, 2020

2019

Control of Cyber-Physical Production Systems: A Concept to Increase the Trustworthiness within Multi-Agent Systems with Distributed Ledger Technology.

Andre Lebioda, Jens F. Lachenmaier, Daniel Burkhardt

Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

The Symbiosis of Distributed Ledger and Machine Learning as a Relevance for Autonomy in the Internet of Things.

Daniel Burkhardt, Patrick Frey, Heiner Lasi

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Distributed Ledger.

Daniel Burkhardt, Maximilian Werling, Heiner Lasi

Proceedings of the 2018 IEEE International Conference on Engineering, 2018