Krzysztof Marcin Choromanski (Preferred)
, Krzysztof Choromanski
Krzysztof Marcin Choromanski
Google Brain Robotics & Columbia University
Names
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Emails
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****@columbia.edu
, ****@google.com
Personal Links
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Education & Career History
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research scientist & adjunct assistant professor
Google Brain Robotics & Columbia University (columbia.edu)
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Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
co-worker
David Grangier
****@google.com
Present
Social
Sinong Wang
****@fb.com
Present
Social
Belinda Z. Li
****@fb.com
Present
Social
Madian Khabsa
****@fb.com
Present
Social
Han Fang
****@fb.com
Present
Social
Hao Ma
****@fb.com
Present
co-worker
Aurko Roy
****@google.com
2020 – Present
co-worker
Ashish Vaswani
****@google.com
2020 – Present
co-worker
Mohammad Saffar
****@google.com
2020 – Present
close collaborator from the same team at Google
Ananda Theertha Suresh
****@google.com
2016 – Present
close collaborator from the same team at Google
Felix Yu
****@google.com
2016 – Present
working in the same team at Google on similar topics
Jeffrey Pennington
****@google.com
2016 – Present
close collaborator I am actively working with right now
Mark Rowland
****@google.com
2016 – Present
close collaborator I am actively working with right now
Adrian Weller
****@cam.ac.uk
2016 – Present
Social
Arthur Gretton
****@gmail.com
2016 – Present
close collaborator and advisor from the same team at Google for many years
Sanjiv Kumar
****@google.com
2013 – Present
close collaborator from the same team at Google
Daniel Holtmann-Rice
****@google.com
2012 – Present
Coauthor
Anna Choromanska
****@columbia.edu
2013 – 2013
Coauthor
Geetha Jagannathan
****@cs.columbia.edu
2013 – 2013
Coauthor
Claire Monteleoni
****@gwu.edu
2013 – 2013
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
structured neural networks, adversarial neural networks
Present