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Faculty Candidate Seminars
Events for 2021
MAR
08
2021
Faculty Candidate Seminar
Understanding Human-Centric Sides of Deep AI Models
Bolei Zhou, Assistant Professor, The Chinese University of Hong Kong
MAR
11
2021
Faculty Candidate Seminar
Reliable Machine Learning in Feedback Systems
Sarah Dean, Ph.D. Candidate, University of California, Berkeley
MAR
15
2021
Faculty Candidate Seminar
Leveraging Dataset Structure for Neural Network Prediction
Christine Allen-Blanchette, Princeton Presidential Postdoctoral Research Fellow, Princeton University
MAR
17
2021
Faculty Candidate Seminar
Developing and Deploying Gallium Nitride Magnetometers for Harsh Environments
Karen Dowling, Postdoctoral Research Staff, Lawrence Livermore National Laboratory
MAR
22
2021
Faculty Candidate Seminar
Fair and Reliable Machine Learning for High-Stakes Applications: Approaches Using Information Theory
Sanghamitra Dutta, Ph.D. Candidate, Carnegie Mellon University
MAR
25
2021
Faculty Candidate Seminar
Artificial Intelligence for Geometry Processing
Rana Hanocka, Ph.D. candidate , Tel Aviv University
MAR
29
2021
Faculty Candidate Seminar
Physics-Based Visual Computing for Efficient 3D Vision and Sensing
David Lindell, Postdoctoral Scholar, Stanford University
MAR
31
2021
Faculty Candidate Seminar
Steps towards making machine learning more natural
Mengye Ren, Ph.D. Candidate, University of Toronto
APR
05
2021
Faculty Candidate Seminar
Learning to See the 3D world
Jia-Bin Huang, Assistant Professor, Virginia Tech