Automation strategies for large-scale 3D image analysis. - Johannes Stegmaier; Benjamin Schott; Eduard Hübner; Manuel Traub; Maryam Shahid; Masanari Takamiya; Andrei Kobitski; Volker Hartmann; Rainer Stotzka; Jos van Wezel; Achim Streit; G. Ulrich Nienhaus; et al. (Autom., 2016)

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos. - Benjamin Schott; Manuel Traub; Cornelia Schlagenhauf; Masanari Takamiya; Thomas Antritter; Andreas Bartschat; Katharina Löffler; Denis Blessing; Jens C. Otte; Andrei Kobitski; G. Ulrich Nienhaus; Uwe Strähle; et al. (PLoS Comput. Biol., 2018)

Learning Precise Spike Timings with Eligibility Traces. - Manuel Traub; Martin V. Butz; R. Harald Baayen; Sebastian Otte (ICANN (2), 2020)

Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets. - Manuel Traub; Johannes Stegmaier (SASHIMI@MICCAI, 2020)

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. - Melvin Ciurletti; Manuel Traub; Matthias Karlbauer; Martin V. Butz; Sebastian Otte (ICANN (5), 2021)

Dynamic Action Inference with Recurrent Spiking Neural Networks. - Manuel Traub; Martin V. Butz; Robert Legenstein; Sebastian Otte (ICANN (5), 2021)

Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. - Manuel Traub; Robert Legenstein; Sebastian Otte (IROS, 2021)

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (CoRR, 2022)

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (ICLR, 2023)

Looping LOCI: Developing Object Permanence from Videos. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (CoRR, 2023)

Learning Object Permanence from Videos via Latent Imaginations. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Loci-Segmented: Improving Scene Segmentation Learning. - Manuel Traub; Frederic Becker; Adrian Sauter; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Rethinking Vision Transformer for Object Centric Foundation Models. - Manuel Traub; Martin V. Butz (CoRR, 2025)