Christian Wildner

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 12

Top Topics

Cell Segmentation

Variational Inference

Top Venues

Publications

Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Yeast cell segmentation in microstructured environments with deep learning. Biosyst. 211 (2022)
Tim Prangemeier, Christoph Reich, Christian Wildner, Heinz Koeppl
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. CoRR (2021)
Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. MICCAI (8) (2021)
Christian Wildner, Heinz Koeppl
Moment-Based Variational Inference for Stochastic Differential Equations. AISTATS (2021)
Christian Wildner, Heinz Koeppl
Moment-Based Variational Inference for Stochastic Differential Equations. CoRR (2021)
Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem
Tensor-train approximation of the chemical master equation and its application for parameter inference. CoRR (2021)
Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
Maximizing Information Gain for the Characterization of Biomolecular Circuits. CoRR (2021)
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB (2020)
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR (2020)
Christian Wildner, Heinz Koeppl
Moment-Based Variational Inference for Markov Jump Processes. ICML (2019)
Christian Wildner, Heinz Koeppl
Moment-Based Variational Inference for Markov Jump Processes. CoRR (2019)
Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
Maximizing information gain for the characterization of biomolecular circuits. NANOCOM (2018)