Jacob Andreas

I study machine learning models that use language as a scaffold to acquire computational abstractions for reasoning, planning and perception. I'm also broadly interested in structured neural methods that combine the advantages of deep representations and discrete compositionality.

I'm a fourth-year Ph.D. student in the Berkeley NLP Group and the Berkeley AI Research Lab. Previously I worked with the Cambridge NLIP Group, and the Center for Computational Learning Systems and NLP Group at Columbia.

Curriculum vitæ, Google scholar, elsewhere


Publications

[*Authors are listed in arbitrary order.]


I am currently supported by a Facebook fellowship and a Huawei / Berkeley AI fellowship. I was a Churchill scholar from 2012–2013 and a National Science Foundation fellow from 2013–2016.

Collaborators: Anca Dragan, Ronghang Hu, Kate Saenko, Sergey Levine, Trevor Darrell, Marcus Rohrbach, Mike Jordan, Max Rabinovich, Taylor Berg-Kirkpatrick, Dan Klein, Zoubin Ghahramani, Stephen Clark, Andreas Vlachos, Kevin Knight, Bevan Jones, Daniel Bauer, Karl Moritz Hermann, David Chiang, Michael Collins, Nizar Habash, Owen Rambow, Or Biran, Kathy McKeown, Kapil Thadani, Mukund Jha, Sara Rosenthal, William Lipovsky.

Collaboration graph trivia: My Erdős number is at most four (J Andreas to K McKeown to Z Galil to N Alon to P Erdős). My Kevin Bacon number (and consequently my Erdős-Bacon number) remains lamentably undefined, but my Kevin Knight number (since apparently that's a thing) is one. I have never starred in a film with Kevin Knight. Noam Chomsky is my great-great-grand-advisor (J Andreas to D Klein to C Manning to J Bresnan to N Chomsky).