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ORCIDJan-Matthis Lueckmann
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2020 – today
- 2022
[b1]Jan-Matthis Lueckmann:
Simulation-Based Inference for Neuroscience and Beyond. University of Tübingen, Germany, 2022- [c4]Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts
, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
GATSBI: Generative Adversarial Training for Simulation-Based Inference. ICLR 2022 - [i4]Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
GATSBI: Generative Adversarial Training for Simulation-Based Inference. CoRR abs/2203.06481 (2022) - 2021
- [c3]Jan-Matthis Lueckmann, Jan Boelts, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
Benchmarking Simulation-Based Inference. AISTATS 2021: 343-351 - [i3]Jan-Matthis Lueckmann, Jan Boelts, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
Benchmarking Simulation-Based Inference. CoRR abs/2101.04653 (2021) - 2020
- [j1]Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke:
sbi: A toolkit for simulation-based inference. J. Open Source Softw. 5(52): 2505 (2020) - [i2]Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke:
SBI - A toolkit for simulation-based inference. CoRR abs/2007.09114 (2020)
2010 – 2019
- 2018
- [c2]Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, Jakob H. Macke:
Likelihood-free inference with emulator networks. AABI 2018: 32-53 - [i1]Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, Jakob H. Macke:
Likelihood-free inference with emulator networks. CoRR abs/1805.09294 (2018) - 2017
- [c1]Jan-Matthis Lueckmann, Pedro J. Gonçalves, Giacomo Bassetto, Kaan Öcal, Marcel Nonnenmacher, Jakob H. Macke:
Flexible statistical inference for mechanistic models of neural dynamics. NIPS 2017: 1289-1299
Coauthor Index
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