Artur Speiser

According to our database, Artur Speiser authored at least 4 papers between 2017 and 2023.

Collaborative distances:

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

2023

Generative Model based Training of Deep Neural Networks for Event Detection in Microscopy Data

Artur Speiser

PhD thesis, 2023

2019

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning.

Artur Speiser, Srinivas C. Turaga, Jakob H. Macke

CoRR, 2019

2018

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

Philipp Berens, Jeremy Freeman, Thomas Deneux, Nicolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H. Macke, Srinivas C. Turaga, Patrick J. Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W. Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge

PLoS Comput. Biol., 2018

2017

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.

Artur Speiser, Jinyao Yan, Evan W. Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017