Jan Bölts
Jan Bölts
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Flexible and efficient simulation-based inference for models of decision-making
We propose a new method to perform simulation-based inference for mixed data e.g., with continuous and discrete data types, like they often occur in models of decision-making.
Jan Boelts
,
Jan-Matthis Lueckmann
,
Richard Gao
,
Jakob H Macke
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GATSBI: Generative Adversarial Training for Simulation-Based Inference
Simulation-based inference (SBI) refers to statistical inference on stochastic models for which we can generate samples, but not …
Poornima Ramesh
,
Jan-Matthis Lueckmann
,
Jan Boelts
,
Álvaro Tejero-Cantero
,
David S Greenberg
,
Pedro J Goncalves
,
Jakob H Macke
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Benchmarking Simulation-Based Inference
Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require …
Jan-Matthis Lueckmann
,
Jan Boelts
,
David Greenberg
,
Pedro Goncalves
,
Jakob H Macke
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