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# Context
Documenting field-level Simulation Based Inference from a differentiable cosmological model.
In [code], we run joint inferences of the initial field ($\delta_L$, $64^3$ mesh), cosmologic…
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# Title
Introduction to Simulation Based Inference: enhancing synthetic models with Artificial Intelligence
# Responsible person(s)
Alina Bazarova, Stefan Kesselheim, Forschungszentrum Jülich, …
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Hello,
I have been looking for a Julia package to perform amortized Bayesian inference on simulation-based models. In many areas of science, there are models with unknown/intractable likelihood fu…
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This is an nfcore module for Partis: an HMM-based framework for B- and T-cell receptor sequence annotation, simulation, clonal family and germline inference, and affinity prediction. It is built on to…
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There are two motivations. First, the low precision inference is becoming popular, int4 could make full advantage of latest NV GPUs. Second, we are doing some quantum simulation stuff based on PyTorch…
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In [this work](https://gitlab.com/miguel.romao/symbolic-regression-bsm) ([preprint](https://arxiv.org/abs/2405.18471)), we had to resample the dataset so that the target variable had a flat distributi…
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I learned how to identify response and explanatory variables, including the "unit of observation" that the tidy dataset is built around. Additionally, I learned to think about what diagnostics I want …
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### Description
The method described in [Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability](https://arxiv.org/abs/2310.13402) paper.
### Implementation
Ne…
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Hello,
I have been playing with the teleoperation example in isaac orbit (teleop_se3_agent.py) and used this example to integrate the teleoperation into my own Cartesian impedance controller. So fa…
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Paper: [A Simulation-Based Test of Identifiability for Bayesian Causal Inference](https://arxiv.org/abs/2102.11761)