Daniel B. Burkhardt

According to our database, Daniel B. Burkhardt authored at least 5 papers between 2019 and 2021.

Collaborative distances:

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

2021

Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference.

Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy

Patterns, 2021

Multimodal single cell data integration challenge: Results and lessons learned.

Christopher Lance, Malte D. Lücken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2019

Finding Archetypal Spaces for Data Using Neural Networks.

David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy

CoRR, 2019

Vertex-Frequency Clustering.

Daniel B. Burkhardt, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy

Proceedings of the IEEE Data Science Workshop, 2019

Finding Archetypal Spaces Using Neural Networks.

David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019