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Faculty Candidate Seminars
Events for 2018
JAN
22
2018
Faculty Candidate Seminar
Game Trees
Pat Virtue, Ph.D. Candidate, University of California Berkeley
JAN
29
2018
Faculty Candidate Seminar
Real World Security: From Theory to Practice and Back Again
Daniel Genkin, Post Doc, University of Pennsylvania and University of Maryland
FEB
01
2018
Faculty Candidate Seminar
Introduction to Linked Lists in C
Rania Hussein, Affiliate Lecturer, University of Washington Bothell
FEB
12
2018
Faculty Candidate Seminar
Knowledge from Deep Understanding of Language
Danqi Chen, Ph.D. Candidate, Stanford
FEB
15
2018
Faculty Candidate Seminar
Data Science for Human Well-being
Tim Althoff, Ph.D. Candidate, Stanford
FEB
20
2018
Faculty Candidate Seminar
Towards Ambient Intelligence in AI-Assisted Hospitals
Serena Yeung, Ph.D. Candidate, Stanford
MAR
05
2018
Faculty Candidate Seminar
Compositional Visual Intelligence
Justin Johnson, Ph.D. Candidate, Stanford University
MAR
07
2018
Faculty Candidate Seminar
Functional Programming in a Discrete Structures Course
Marius Minea, Associate Professor, Politehnica University of Timisoara
MAR
12
2018
Faculty Candidate Seminar
Spam, Drugs, and Diesel: An Evidence-Based Approach to Computer Security
Kirill Levchenko, Associate Research Scientist, University of California, San Diego
MAR
13
2018
Faculty Candidate Seminar
Towards Generalizable Imitation in Robotics
Animesh Garg, Post Doc, Stanford
MAR
15
2018
Faculty Candidate Seminar
Perceiving the 3D World from Images and Videos
Yu Xiang, Post Doc, University of Washington
MAR
20
2018
Faculty Candidate Seminar
Sensing + Interaction On and Around the Body
Cheng Zhang, Ph.D. Candidate, Georgia Tech
MAR
22
2018
Faculty Candidate Seminar
Introduction to Random Variables
Kim Khalsa Diaz, Lecturer I, University of Michigan
MAR
23
2018
Faculty Candidate Seminar
Understanding How Deep Neural Networks See
Michael Guerzhoy, Lecturer, University of Toronto
MAR
27
2018
Faculty Candidate Seminar
Provable and Practical Algorithms for Non-convex Problems in Machine Learning
Yang Yuan, Ph.D. Candidate, Cornell University
MAR
28
2018
Faculty Candidate Seminar
Characterizing the Space of Adversarial Examples in Machine Learning
Nicolas Papernot, Ph.D. Candidate, Pennsylvania State University
MAR
29
2018
Faculty Candidate Seminar
Machine Learning By the People, For the People
Nika Haghtalab, Ph.D. Candidate, Carnegie Mellon University
APR
02
2018
Faculty Candidate Seminar
Unsupervised Learning for Large Scale Medical Image Analysis
Adrian Dalca, Post Doc, MIT and Harvard
APR
03
2018
Faculty Candidate Seminar
Better Understandings of Efficient Data Structures
Huacheng Yu, Post Doc, Harvard University
APR
04
2018
Faculty Candidate Seminar
Recovering a Functional and Three Dimensional Understanding of Images
David Fouhey, Post Doc, University of California, Berkeley
APR
09
2018
Faculty Candidate Seminar
Computational Models of Human Behavior
Nikola Banovic, Ph.D. Candidate, Carnegie Mellon University
APR
11
2018
Faculty Candidate Seminar
Interactive Systems for Code and Data Demography
Elena Glassman, Postdoc, University of California Berkeley
APR
13
2018
Faculty Candidate Seminar
Beyond Inheritance: The Composition Pattern for Real-Time Visualization, Simulation, and Game Development
Austin Yarger, Graduate Student Instructor, University of Michigan
APR
16
2018
Faculty Candidate Seminar
Human-Centric Machine Learning: Enabling Machine Learning for High-Stakes Decision-Making
Hima Lakkaraju, Ph.D. Candidate, Stanford
NOV
12
2018
Faculty Candidate Seminar
Investigating Network Interference at Global Scale
Roya Ensafi, Research Assistant Professor, University of Michigan