Dates Time Speakers/Topic Location
October 25 10:00 AM Ying Hung: Integration of Models and Data for Inference about Humans and Machines (I) Konstantin Mischaikow: Analyzing Imprecise Dynamics Jingjin Yu: Toward Scaleable and Optimal Autonomy COR-433
November 1 10:00 AM Rong Chen: Dynamic Systems and Sequential Monte-Carlo Jason Klusowski: Integration of Models and Data for Inference about Humans and Machines (II) Cun-Hui Zhang: Statistical Inference with High-Dimensional Data COR-433
November 8 10:00 AM Kostas Bekris: Generating Motion for Adaptive Robots Fred Roberts: Meaningless Statements in Performance Measurement for Intelligent Machines COR-433
November 15 10:00 AM Fioralba Cakoni: Inside-Out, Seen and Unseen Matthew Stone: Colors in Context Inference challenges in Bayesian cognitive science Wujun Zhang: Numerical approximation of optimal transport problem COR-433
February 7 10:00 AM Patrick Shafto (Mathematics and Computer Science; Rutgers University)

Title: Cooperation in Humans and Machines

Abstract: Cooperation, specifically cooperative information sharing, is a basic principle of human intelligence. Machine learning, in contrast, focuses on learning from randomly sampled data, which neither leverages others’ cooperation nor prioritizes the ability to communicate what has been learned. I will discuss ways in which our understanding of human learning may be leveraged to develop new machine learning, and form a foundation for improved integration of machine learning into human society.

COR-431
May 8 10:00 AM Rene Vidal (Biomedical Engineering; Johns Hopinks University)

Title: TBA

Online
TBD 10:00 AM YingLi Tian (Department of Electrical Engineering; The City College of New York)

Title: TBA

TBD
TBD 10:00 AM Dana Randall (Computer Science; Georgia Institute of Technology)

Title: TBA

TBD
TBD 10:00 AM Tanya Berger-Wolf (Computer Science and Engineering; Ohio State University)

Title: TBA

TBD