Cornelius Schröder
University of Tübingen
Maria-von-Linden-Str. 1
72076 Tübingen
Germany
I am a postdoc in Jakob Macke’s lab since July 2021.
Before joining the lab, I did my PhD with Philipp Berens at the University of Tübingen.
Please see also my google scholar profile for an up-to-date list.
Moss, G., Muhle, L.S., Drews, R., Macke+, J.H., Schröder+, C. FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators. Arxiv. (2025)
Deistler, M., Kadhim, K.L., Pals, M., Beck, J., Huang, Z., Gloeckler, M., Lappalainen, J.K., Schröder, C., Berens, P., Gonçalves, P.J., Macke, J.H. Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics. BioRxiv. (2024)
Palola, P., Theenathayalan, V., Schröder, C., Martinez-Vicente, V., Collin, A., Wright, R., Ward, M., Thomson, E., Lopez-Garcia, P., Hochberg, E.J., Malhi, Y., Wedding, L.M. Simulation-based inference advances water quality mapping in shallow coral reef environments. Royal Society Open Science. (2025)
Manzano-Patron,J.P., Deistler, M., Schröder, C., Kypraios, T., Gonçalves, P.J., Macke, J.H., Sotiropoulos, S.N. Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes. Medical Image Analysis. (2025)
Boelts, J., Deistler, M., Gloeckler, M., Tejero-Cantero, A., Lueckmann, J.M., Moss, G., Steinbach, P., Moreau, T., Muratore, F., Linhart, J., Durkan, C., Vetter, J., Miller, B.K., Herold, M., Ziaeemehr, A., Pals, M., Gruner, T., Bischoff, S., Krouglova, N., Gao, R., Lappalainen, J.K., Mucsányi, B., Pei, F., Schulz, A., Stefanidi, Z., Rodrigues, P., Schröder, C., Zaid F.A., Beck, J., Kapoor, J., Greenberg, D.S., Gonçalves, P.J., Macke, J.H. sbi reloaded: a toolkit for simulation-based inference workflows. Journal of Open Source Software. (2025)
Moss, G., Višnjević, V., Eisen, O., Oraschewski, F.M., Schröder+, C., Macke+, J.H., Drews+, R. Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers. Journal of Glaciology. (2025)
Vetter, J., Moss, G., Schröder, C. , Gao, R., Macke, J.H. Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation. NeurIPS. (2024)
Bischoff, S., Darcher, A., Deistler, M., Gao, R., Gerken, F., Gloeckler, M., Haxel, L., Kapoor, J., Lappalainen, Macke, J. Moss, G., Pals, M., Pei, F., Rapp, R., Sağtekin, A. E., Schröder, C. , Schulz, A., Stefanidi, Z., Toyota, S., Ulmer, L., Vetter, J. A practical guide to sample-based statistical distances for evaluating generative models in science. TMLR. (2024)
Schröder, C., Macke, J.H. Simultaneous identification of models and parameters of scientific simulators. ICML. (2024)
Friedrich, J., Bareis, A., Bross, M., Bürger, Z., Cortés Rodríguez, A., Effenberger, N., Kleinhansl, M., Kremer, F., Schröder, C. “How is your thesis going?” – Ph.D. students’ perspectives on mental health and stress in academia. PLOSOne. (2023)
Yoshimatsu, T., Bartel, P., Schröder C., Janiak F.K., St-Pierre, F., Berens P., Baden, T. Ancestral circuits for vertebrate colour vision emerge at the first retinal synapse. Science Advances. (2021)
Schröder, C., Oesterle, J., Berens, P., Yoshimatsu, T., Baden, T. Distinct synaptic transfer functions in same-type photoreceptors. Elife. (2021)
Schröder*, C., Klindt*, D., Strauss, S., Franke, K., Bethge, M., Euler, T., Berens, P. System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina. NeurIPS. (2020)
Oesterle, J., Behrens, C., Schröder, C., Hermann, T., Euler, T., Franke, K., Smith, R.G., Zeck, G., Berens, P. Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics. Elife. (2020)
Yoshimatsu, T., Schröder C., Nevala, N.E., Berens P., Baden, T. Fovea-like photoreceptor specializations underlie single UV cone driven prey-capture behavior in zebrafish. Neuron. (2020)
Schröder*, C., James*, B., Lagnado, L., Berens, P. Approximate bayesian inference for a mechanistic model of vesicle release at a ribbon synapse. NeurIPS. (2019)
Schröder, C. From Synapses to Circuits: Different Levels of Functional Modeling of the Retina. University of Tübingen. (2022)
Klindt*, D., Schröder*, C., Vlasits, A., Franke, K., Berens, P., Euler, T. Modelling Functional Wiring and Processing from Retinal Bipolar to Ganglion Cells. Cosyne. (2021)
Schröder, C., Berens, P., Yoshimatsu, T., Baden, T. Photoreceptor synapses are tuned to environmental statistics in the larval zebrafish. Cosyne. (2019)
Schröder, C. Wie das Auge mehr als einzelne Punkte sieht. github. (2022) -- A pop science summary of my PhD thesis.
Schröder, C. Some notes on the Multivariate Binary distribution in the Grassmann formalism. github. (2022)
* equal contribution
+ joint supervision
I was part of the PhD inititiative sustainAbility at the University of Tübingen.
Last update: 24.7.2025