Flexible statistical inference for mechanistic models of neural dynamics. - Jan-Matthis Lueckmann; Pedro J. Gonçalves; Giacomo Bassetto; Kaan Öcal; Marcel Nonnenmacher; Jakob H. Macke (NIPS, 2017)

Likelihood-free inference with emulator networks. - Jan-Matthis Lueckmann; Giacomo Bassetto; Theofanis Karaletsos; Jakob H. Macke (AABI, 2018)

sbi: A toolkit for simulation-based inference. - Álvaro Tejero-Cantero; Jan Boelts; Michael Deistler; Jan-Matthis Lueckmann; Conor Durkan; Pedro J. Gonçalves; David S. Greenberg; Jakob H. Macke (J. Open Source Softw., 2020)

Benchmarking Simulation-Based Inference. - Jan-Matthis Lueckmann; Jan Boelts; David S. Greenberg; Pedro J. Gonçalves; Jakob H. Macke (AISTATS, 2021)

GATSBI: Generative Adversarial Training for Simulation-Based Inference. - Poornima Ramesh; Jan-Matthis Lueckmann; Jan Boelts; Álvaro Tejero-Cantero; David S. Greenberg; Pedro J. Gonçalves; Jakob H. Macke (ICLR, 2022)

Simulation-Based Inference for Neuroscience and Beyond. - Jan-Matthis Lueckmann (2022)

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. - Jan-Matthis Lueckmann; Alexander Immer; Alex Bo-Yuan Chen; Peter H. Li; Mariela D. Petkova; Nirmala A. Iyer; Luuk Willem Hesselink; Aparna Dev; Gudrun Ihrke; Woohyun Park; Alyson Petruncio; Aubrey Weigel; et al. (ICLR, 2025)

Forecasting Whole-Brain Neuronal Activity from Volumetric Video. - Alexander Immer; Jan-Matthis Lueckmann; Alex Bo-Yuan Chen; Peter H. Li; Mariela D. Petkova; Nirmala A. Iyer; Aparna Dev; Gudrun Ihrke; Woohyun Park; Alyson Petruncio; Aubrey Weigel; Wyatt Korff; et al. (CoRR, 2025)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)