Simon Dirmeier

According to our database, Simon Dirmeier authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

Causal Posterior Estimation.

Simon Dirmeier, Antonietta Mira

CoRR, May, 2025

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation.

Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Surjectors: surjection layers for density estimation with normalizing flows.

Simon Dirmeier

J. Open Source Softw., April, 2024

High Resolution Seismic Waveform Generation using Denoising Diffusion.

Andreas Bergmeister, Kadek Hendrawan Palgunadi, Andrea Bosisio, Laura Ermert, Maria Koroni, Nathanaël Perraudin, Simon Dirmeier, Men-Andrin Meier

CoRR, 2024

Simulation-based inference with the Python Package sbijax.

Simon Dirmeier, Simone Ulzega, Antonietta Mira, Carlo Albert

CoRR, 2024

Synthetic location trajectory generation using categorical diffusion models.

Simon Dirmeier, Ye Hong, Fernando Pérez-Cruz

CoRR, 2024

2023

Revealing behavioral impact on mobility prediction networks through causal interventions.

Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal

CoRR, 2023

Diffusion models for probabilistic programming.

Simon Dirmeier, Fernando Pérez-Cruz

CoRR, 2023

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows.

Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz

CoRR, 2023

Simulation-based inference using surjective sequential neural likelihood estimation.

Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz

CoRR, 2023

2020

Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation.

Simon Dirmeier, Christopher Dächert, Martijn van Hemert, Ali Tas, Natacha S. Ogando, Frank J. M. van Kuppeveld, Ralf Bartenschlager, Lars Kaderali, Marco Binder, Niko Beerenwinkel

PLoS Comput. Biol., 2020

2019

PyBDA: a command line tool for automated analysis of big biological data sets.

Simon Dirmeier, Mario Emmenlauer, Christoph Dehio, Niko Beerenwinkel

BMC Bioinform., 2019

2018

datastructures: An R package for organisation and storage of data.

Simon Dirmeier

J. Open Source Softw., 2018

netReg: network-regularized linear models for biological association studies.

Simon Dirmeier, Christiane Fuchs, Nikola S. Müller, Fabian J. Theis

Bioinform., 2018