Christian Wildner

12 papers A* 1A 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Yeast cell segmentation in microstructured environments with deep learning.
Biosyst.
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2021 J jnl
Maximizing Information Gain for the Characterization of Biomolecular Circuits.
CoRR
Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
2021 A conf
Moment-Based Variational Inference for Stochastic Differential Equations.
AISTATS
Christian Wildner, Heinz Koeppl
2021 J jnl
Moment-Based Variational Inference for Stochastic Differential Equations.
CoRR
Christian Wildner, Heinz Koeppl
2021 — conf
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
MICCAI (8)
Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl
2021 J jnl
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
CoRR
Tim Prangemeier, Christoph Reich, Christian Wildner, Heinz Koeppl
2021 J jnl
Tensor-train approximation of the chemical master equation and its application for parameter inference.
CoRR
Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis, Heinz Koeppl, Herbert De Gersem
2020 C conf
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
CIBCB
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2020 J jnl
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
CoRR
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
2019 A* conf
Moment-Based Variational Inference for Markov Jump Processes.
ICML
Christian Wildner, Heinz Koeppl
2019 J jnl
Moment-Based Variational Inference for Markov Jump Processes.
CoRR
Christian Wildner, Heinz Koeppl
2018 — conf
Maximizing information gain for the characterization of biomolecular circuits.
NANOCOM
Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl