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

[Han Zhao]

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*
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