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Faculty Candidate Seminars

Events for 2025

JAN
23
2025
Faculty Candidate Seminar
Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI
Simran Arora, Ph.D. Candidate, Stanford University
JAN
30
2025
Faculty Candidate Seminar
Steering Machine Learning Ecosystems of Interacting Agents
Meena Jagadeesan, Ph.D. Candidate, University of California, Berkeley
FEB
12
2025
Faculty Candidate Seminar
Adventures in Feature Space: Vector Similarity Measures for Machine Learning
Elle O’Brien, Lec IV, University of Michigan School of Information
FEB
13
2025
Faculty Candidate Seminar
Generative Computer Vision for the Physical World
Ruoshi Liu, Ph.D. Candidate, Columbia University
FEB
17
2025
Faculty Candidate Seminar
Where can quantum computers outperform classical computers?
Bobak Kiani, Postdoc, Harvard University
FEB
20
2025
Faculty Candidate Seminar
Learning to Perceive the 4D World
Qianqian Wang, Postdoc, University of California, Berkeley
FEB
21
2025
Faculty Candidate Seminar
Teaching Demonstration: What Should I Test? How to Think About and Select Test Inputs
James Perretta, Ph.D. Candidate, Northeastern University
FEB
27
2025
Faculty Candidate Seminar
Understanding and Enhancing Deep Neural Networks with Automated Interpretability
Tamar Rott Shaham, Postdoc, Massachusetts Institute of Technology
MAR
10
2025
Faculty Candidate Seminar
Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines
Mark Zhao, Ph.D. Candidate, Stanford University
MAR
17
2025
Faculty Candidate Seminar
From Agents to Optimization: User Interface Understanding and Generation
Jason Wu, Research Scientist, Apple
MAR
17
2025
Faculty Candidate Seminar
Building the Tools to Program a Quantum Computer
Charles Yuan, Ph.D. Candidate, Massachusetts Institute of Technology