no code implementations • 20 Jun 2023 • Tejas Santanam, Pascal Van Hentenryck
This paper details an outlook on modern constraint programming (CP) education through the lens of a CP instructor.
no code implementations • 27 Feb 2023 • Tejas Santanam, Anthony Trasatti, Hanyu Zhang, Connor Riley, Pascal Van Hentenryck, Ramayya Krishnan
This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after the pandemic lockdown.
no code implementations • 13 Dec 2022 • Tejas Santanam, Mengyang Liu, Jiangyue Yu, Zhaodong Yang
The language model returns a closely matching image given a style text and description input, which is then passed to the style transfer model with an input content image to create a final output.
no code implementations • 9 Jun 2021 • Tejas Santanam, Anthony Trasatti, Pascal Van Hentenryck, Hanyu Zhang
This paper proposes a suite of data-driven techniques that exploit Automated Fare Collection (AFC) data for evaluating, anticipating, and managing the performance of transit systems during recurring congestion peaks due to special events.