Seminar • Algorithms and Complexity • On Non-interactive Arguments and Quantum Random Oracle Model
Please note: This half-hour seminar will take place in M3 4206 and online.
Vahid Asadi, PhD candidate
David R. Cheriton School of Computer Science
Vahid Asadi, PhD candidate
David R. Cheriton School of Computer Science
Axel-Cyrille Ngonga Ngomo, Professor of Data Science
Paderborn University
RDF knowledge bases are now first-class citizens of the Web with over 100 billion RDF assertions in the 2022 WebDataCommons crawl. Developing explainable machine learning approaches tailored towards this data is hence a task of increasing importance.
Gururaj Saileshwar, Assistant Professor
Department of Computer Science, University of Toronto
Akshay Ramachandran, Postdoctoral Researcher
Centrum Wiskunde & Informatica
Sepehr Assadi, Associate Professor
David R. Cheriton School of Computer Science
Sajin Sasy, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ian Goldberg
Kaave Hosseini, Assistant Professor
Department of Computer Science, University of Rochester
The Cheriton School of Computer Science invites you to attend the 2023 Cheriton Research Symposium.
Learn, engage in discussion, and share findings at this showcase of research excellence made possible by David R. Cheriton’s generous investment in education.
Kam Chuen Tung, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lap Chi Lau
We derive Cheeger inequalities for directed graphs and hypergraphs using the reweighted eigenvalue approach that was recently developed for vertex expansion in undirected graphs. The goal is to develop a new spectral theory for directed graphs and an alternative spectral theory for hypergraphs.
Rosina Kharal, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Trevor Brown