Martin Wattenberg is affiliated with Harvard University in the United States. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence. Other notable subfields include Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Safety Research, and Statistical and Nonlinear Physics.
Their work covers several main topics, including:
Wattenberg has published extensively, with a strong presence in arXiv (Cornell University), where 33 of their papers appeared. Other venues include the Proceedings of the National Academy of Sciences, IEEE Transactions on Visualization and Computer Graphics, Computational Brain & Behavior, and IEEE Computer Graphics and Applications.
Recent publications include:
Their work involves collaboration with several frequent co-authors, most notably Fernanda Viégas, Kenneth Li, Catherine Vance Yeh, Yida Chen, and Aoyu Wu.
Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo
Ari Juels;Martin Wattenberg
Melvin Johnson;Mike Schuster;Quoc V. Le;Maxim Krikun
Fernanda B. Viégas;Martin Wattenberg;Kushal Dave
Daniel Smilkov;Nikhil Thorat;Been Kim;Fernanda B. Viégas
F.B. Viegas;M. Wattenberg;F. van Ham;J. Kriss
H. Brendan McMahan;Gary Holt;D. Sculley;Michael Young
Martin Wattenberg;Fernanda Viégas;Ian Johnson
Been Kim;Martin Wattenberg;Justin Gilmer;Carrie Jun Cai
Benjamin B. Bederson;Ben Shneiderman;Martin Wattenberg
L. Byron;M. Wattenberg
F.B. Viegas;M. Wattenberg;J. Feinberg
F.B. Viegas;M. Wattenberg;J. Kriss;F. van Ham
James Wexler;Mahima Pushkarna;Tolga Bolukbasi;Martin Wattenberg
M. Wattenberg;F.B. Viegas
M. Wattenberg
Been Kim;Martin Wattenberg;Justin Gilmer;Carrie Cai
Carrie J. Cai;Emily Reif;Narayan Hegde;Jason Hipp
Jeffrey Heer;Fernanda B. Viégas;Martin Wattenberg
Kanit Wongsuphasawat;Daniel Smilkov;James Wexler;Jimbo Wilson
B. Shneiderman;M. Wattenberg
Emily Reif;Ann Yuan;Martin Wattenberg;Fernanda B. Viegas
If you think any of the details on this page are incorrect, let us know.
Exploring online education options opens new doors for Computer Science students seeking flexibility and affordability. Alongside computer science, many students are now considering environmental engineering schools online to build expertise in sustainability and environmental technology—a growing field with diverse career prospects.
For those interested in design, automation, or robotics, online mechanical engineering degrees offer robust technical training that complements computer science knowledge. This can be especially valuable for roles in manufacturing, product development, or hardware engineering.
A strong foundation in the sciences can also be achieved by pursuing the cheapest online physics degree. This pathway is ideal for analytical thinkers aiming for research, data analysis, or specialized technology careers.
Finally, data-driven fields continue to surge, making a data science degree a popular choice for those interested in big data, analytics, and machine learning careers. Each of these online degrees provides unique skills that complement and enhance a background in computer science, expanding your career opportunities.
Chinese Academy of Sciences
University of Oklahoma
Zhejiang University
University of California, Los Angeles
University of Tübingen
University of Turin
Heinrich Heine University Düsseldorf
Brown University
Hannover Medical School
Old Dominion University
University of Virginia
Cisco Systems (United States)
Athena Research Center
Federal University of Toulouse Midi-Pyrénées
University of Pennsylvania
University of Florence