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Seminars

AI Seminars provide a forum for researchers in this important area to share their findings and thoughts. The AI Seminar Series is sponsored by Soar Technology.

Past events

MAY
05
2020
AI Seminar
Learning sight from sound
Andrew Owens, Assistant Professor in Electrical and Computer EngineeringUniversity of Michigan
4:00pm – 5:15pm in Remote/Virtual
MAY
05
2020
AI Seminar | Dissertation Defense
Efficient Belief Propagation for Perception and Manipulation in Clutter
Karthik Desingh
3:00pm – 5:00pm
APR
16
2020
MIDAS Seminar | Student Event
A Data Scientist Plays Games
Nick Berry, Data ScientistFormerly with Microsoft, GameHouse, and Facebook
12:00pm – 1:30pm in Remote/Virtual
APR
16
2020
CSE Seminar
Understanding and Generating Natural Language of Complex Discourse
Lu Wang, Assistant ProfessorNortheastern University
10:30am – 11:30am in Remote/Virtual
APR
15
2020
Faculty Candidate Seminar
Towards Structured-Infused and Disentangled Representation Learning
Xuezhe Ma, Ph.D. CandidateCarnegie Mellon University
10:30am – 11:30am in Remote/Virtual
APR
08
2020
Faculty Candidate Seminar
New Compilation Techniques for Reconfigurable Analog Devices
Sara Achour, Ph.D. CandidateMIT
10:30am – 11:30am in Remote/Virtual
APR
06
2020
Faculty Candidate Seminar
Language Grounding with Robots
Jesse Thomason, PostdocUniversity of Washington
10:30am – 11:30am in Remote/Virtual
APR
02
2020
Faculty Candidate Seminar
Harnessing Examples for Learning at Scale
Xu Wang, Ph.D. CandidateCarnegie Mellon University
10:30am – 11:30am in Remote/Virtual
APR
01
2020
Faculty Candidate Seminar
Bending Fuzzers to One’s Own Will
Rohan Padhye, Ph.D. CandidateUniversity of California Berkeley
10:30am – 11:30am in Remote/Virtual
MAR
31
2020
Faculty Candidate Seminar
Learning Spoken Language Through Vision
David Harwath, Research ScientistMIT
10:30am – 11:30am in Remote/Virtual
MAR
30
2020
Faculty Candidate Seminar
Auditing Outsourced Services
Cheng Tan, Ph.D. CandidateNew York University
10:30am – 11:30am in Remote/Virtual
MAR
26
2020
Faculty Candidate Seminar
Rethinking Operating System and Hardware Abstractions for Good and Evil
Dimitrios Skarlatos, Ph.D. CandidateUniversity of Illinois at Urbana-Champaign
10:30am – 11:30am in Remote/Virtual
MAR
25
2020
Faculty Candidate Seminar
Designing Collective Behavior in Robotic Swarms
Justin Werfel, Sr. Research ScientistHarvard University
10:30am – 11:30am in Remote/Virtual
MAR
24
2020
Faculty Candidate Seminar
Connecting Blockchains to the Real World
Fan Zhang, Ph.D. CandidateCornell University
10:30am – 11:30am in Remote/Virtual
MAR
23
2020
Faculty Candidate Seminar
Automating Failure Diagnosis for Distributed Systems
Yongle Zhang, Ph.D. CandidateUniversity of Toronto
10:30am – 11:30am in Remote/Virtual
MAR
20
2020
Theory Seminar
An Algorithm for Hypergraph k-Cut
Karthik Chandrasekaran, Assistant ProfessorUniversity of Illinois, Urbana-Champaign
10:30am – 11:30pm in 3725 Beyster Building
MAR
19
2020
Faculty Candidate Seminar
Foundations of Optimizable Gradual Typing
Max New, Ph.D. CandidateNortheastern University
10:30am – 11:30am in Remote/Virtual
MAR
18
2020
Faculty Candidate Seminar
Learning from Societal Data: Theory and Practice
Ramya Vinayak, PostdocUniversity of Washington
10:30am – 11:30am in Remote/Virtual
MAR
17
2020
Faculty Candidate Seminar
Analyzing Programs in the Era of Software 2.0
Xin Zhang, PostdocMIT
10:30am – 11:30am in Remote/Virtual
MAR
16
2020
Faculty Candidate Seminar
Better Foundations for Secure Software: Minimize Trust and Verify It
Shweta Shivaji Shinde, PostdocUniversity of California Berkeley
10:30am – 11:30am in Remote/Virtual
MAR
11
2020
Faculty Candidate Seminar
Progressive Automated Formal Verification of Hardware and Software Systems
Yatin Manerkar, Ph.D. CandidatePrinceton University
10:30am – 11:30am in 3725 Beyster Building
MAR
10
2020
Faculty Candidate Seminar
Algorithmic Paradigms for Dynamic Graphs
Thatchaphol Saranurak, Research Assistant ProfessorToyota Technological Institute at Chicago
10:30am – 11:30am in 3725 Beyster Building
MAR
09
2020
Faculty Candidate Seminar
Scalability and Methods of Deep Learning from an Optimization Viewpoint
Kenji Kawaguchi, Ph.D. CandidateMIT
10:30am – 11:30am in 3725 Beyster Building
MAR
06
2020
Theory Seminar
Towards a Unified Theory of Matching Sparsifiers
Aaron Bernstein, Asst. ProfessorRutgers University
10:30am – 11:30pm in 3725 Beyster Building
FEB
27
2020
Faculty Candidate Seminar
The Value Alignment Problem in Artificial Intelligence
Dylan Hadfield-Menell, Ph.D. CandidateUniversity of California, Berkeley
10:30am – 11:30am in 3725 Beyster Building
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