[AI Seminar] AI Seminar sponsored by Apple -- Jonathan Laurent -- Nov. 20th

Han Zhao han.zhao at cs.cmu.edu
Mon Nov 19 10:52:02 EST 2018


A gentle reminder that the following talk will happen tomorrow noon at NSH
3305.

Han Zhao <han.zhao at cs.cmu.edu> 于2018年11月17日周六 下午12:12写道:

> Dear faculty and students:
>
> We look forward to seeing you next Tuesday, Nov. 20th, at noon in NSH 3305
> for AI Seminar sponsored by Apple. To learn more about the seminar series,
> please visit the website.
> On Tuesday, Jonathan Laurent will give the following talk:
>
> *Title: Counterfactual Resimulation for Causal Analysis of Rule-Based
> Models*
>
> *Abstract: *A major challenge in Systems Biology is to uncover the causal
> mechanisms through which complex cell behaviors emerge from a multitude of
> low-level molecular interactions. Understanding these causal mechanisms is
> critical for medical research as it enables the identification of potential
> targets for drugs.
>
> In this spirit, biologists have been building models of the cell chemistry
> that aggregate known interactions between proteins. In this talk, we
> introduce a technique to analyze the causal structure of simulation traces
> generated from such models. Concretely, our method leverages simulation to
> produce causal diagrams that explain outcomes of interest in terms of
> enablement and prevention relations between molecular events.
>
> A key contribution of our work is an algorithm to simulate counterfactual
> scenarios efficiently. Given a reference trace, it provides an answer to
> questions such as: What would have happened had a particular event not
> happened? Doing so, it generalizes Pearl's standard treatment of
> counterfactuals to complex dynamical systems.
>
> (Based on joint work with Jean Yang and Walter Fontana, published at
> IJCAI-18.)
> --
>
> *Han ZhaoMachine Learning Department*
>
>
> *School of Computer ScienceCarnegie Mellon UniversityMobile: +1-*
> *412-652-4404*
>


-- 

*Han ZhaoMachine Learning Department*


*School of Computer ScienceCarnegie Mellon UniversityMobile: +1-*
*412-652-4404*
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