Lars Lorch (Preferred)
Lars Lorch
Swiss Federal Institute of Technology
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@student.ethz.ch
, ****@inf.ethz.ch
, ****@ethz.ch
, ****@tuebingen.mpg.de
Personal Links
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Education & Career History
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PhD student
Swiss Federal Institute of Technology (ethz.ch)
2021 – Present
MS student
Swiss Federal Institute of Technology (ethz.ch)
2019 – 2021
Undergrad student
Harvard University (harvard.edu)
2015 – 2019
Advisors, Relations & Conflicts
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Coauthor
Manuel Gomez Rodriguez
****@mpi-sws.org
Present
PhD Advisor
Bernhard Schölkopf
****@tuebingen.mpg.de
Present
PhD Advisor
Andreas Krause
****@ethz.ch
Present
Coauthor
Jonas Rothfuss
****@gmail.com
2020 – Present
Coworker
Scott Sussex
****@inf.ethz.ch
2019 – Present
Coauthor
Finale Doshi Velez
****@seas.harvard.edu
2018 – 2020
Coauthor
Moritz A. Graule
****@g.harvard.edu
2018 – 2020
Coauthor
Himabindu Lakkaraju
****@seas.harvard.edu
2018 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Causality
2020 – Present
Causal inference
2020 – Present
Causal discovery
2020 – Present
Bayesian deep learning
2018 – 2020