{"action":"created","issue":{"url":"https://api.github.com/repos/pints-team/pints/issues/856","repository_url":"https://api.github.com/repos/pints-team/pints","labels_url":"https://api.github.com/repos/pints-team/pints/issues/856/labels{/name}","comments_url":"https://api.github.com/repos/pints-team/pints/issues/856/comments","events_url":"https://api.github.com/repos/pints-team/pints/issues/856/events","html_url":"https://github.com/pints-team/pints/issues/856","id":455197841,"node_id":"MDU6SXNzdWU0NTUxOTc4NDE=","number":856,"title":"Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems","user":{"login":"MichaelClerx","id":517644,"node_id":"MDQ6VXNlcjUxNzY0NA==","avatar_url":"https://avatars1.githubusercontent.com/u/517644?v=4","gravatar_id":"","url":"https://api.github.com/users/MichaelClerx","html_url":"https://github.com/MichaelClerx","followers_url":"https://api.github.com/users/MichaelClerx/followers","following_url":"https://api.github.com/users/MichaelClerx/following{/other_user}","gists_url":"https://api.github.com/users/MichaelClerx/gists{/gist_id}","starred_url":"https://api.github.com/users/MichaelClerx/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MichaelClerx/subscriptions","organizations_url":"https://api.github.com/users/MichaelClerx/orgs","repos_url":"https://api.github.com/users/MichaelClerx/repos","events_url":"https://api.github.com/users/MichaelClerx/events{/privacy}","received_events_url":"https://api.github.com/users/MichaelClerx/received_events","type":"User","site_admin":false},"labels":[{"id":654800401,"node_id":"MDU6TGFiZWw2NTQ4MDA0MDE=","url":"https://api.github.com/repos/pints-team/pints/labels/science!","name":"science!","color":"88ee88","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2019-06-12T12:56:01Z","updated_at":"2019-06-13T08:59:27Z","closed_at":null,"author_association":"MEMBER","body":"@mirams posted https://arxiv.org/abs/1905.12090\r\n\r\nSomeone should have a quick look at this"},"comment":{"url":"https://api.github.com/repos/pints-team/pints/issues/comments/501615122","html_url":"https://github.com/pints-team/pints/issues/856#issuecomment-501615122","issue_url":"https://api.github.com/repos/pints-team/pints/issues/856","id":501615122,"node_id":"MDEyOklzc3VlQ29tbWVudDUwMTYxNTEyMg==","user":{"login":"martinjrobins","id":1148404,"node_id":"MDQ6VXNlcjExNDg0MDQ=","avatar_url":"https://avatars3.githubusercontent.com/u/1148404?v=4","gravatar_id":"","url":"https://api.github.com/users/martinjrobins","html_url":"https://github.com/martinjrobins","followers_url":"https://api.github.com/users/martinjrobins/followers","following_url":"https://api.github.com/users/martinjrobins/following{/other_user}","gists_url":"https://api.github.com/users/martinjrobins/gists{/gist_id}","starred_url":"https://api.github.com/users/martinjrobins/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/martinjrobins/subscriptions","organizations_url":"https://api.github.com/users/martinjrobins/orgs","repos_url":"https://api.github.com/users/martinjrobins/repos","events_url":"https://api.github.com/users/martinjrobins/events{/privacy}","received_events_url":"https://api.github.com/users/martinjrobins/received_events","type":"User","site_admin":false},"created_at":"2019-06-13T08:59:27Z","updated_at":"2019-06-13T08:59:27Z","author_association":"MEMBER","body":"Sounds good, think I'm slowly getting an understanding. The nice thing about this approach is that it gives you flexibility to define your model as an ODE, Neural Network, GP, or whatever (or a combination of a few of those). Only requirement is that it is differentiable."}}
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