Please note: This master’s research paper presentation will take place online.
Michael Karras, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Olga Veksler
LLMs are currently dominating the scene in AI research. In our literature review, we aim to analyze the subfield of question answering in the domains of both natural language and coding through LLMs. We will discuss the underlying RL algorithm, datasets and current advances in this space.
Please note: This PhD seminar will be given online.
David Radke, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Kate Larson, Tim Brecht
While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily more effective than smaller ones.
Please note: This PhD seminar will take place online.
Joseph Musleh, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Éric Schost
Please note: This seminar will take place in DC 2585.
Jelle Hellings, Assistant Professor
Department of Computing and Software, McMaster University
Please note: This distinguished lecture will take place in DC 1302 and virtually over Zoom.
Tanya Berger-Wolf
Director, Translational Data Analytics Institute
Professor, Computer Science and Engineering | Electrical and Computer Engineering | Evolution, Ecology, and Organismal Biology
Director, Imageomics Institute
Ohio State University
Please note: This PhD defence will take place in MC 5417 and virtually.
Catherine St-Pierre, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Éric Schost
This thesis presents an algorithm to find the local structure of intersections of plane curves.
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Silvia Sellán, PhD candidate
Department of Computer Science, University of Toronto
Please note: This master’s thesis presentation will take place in DC 3317.
Matt D’Souza, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ondřej Lhoták
Parametric polymorphism, also known as generics, is an abstraction that lets programmers define code that behaves independently of the types of values it operates on. Generics is a useful abstraction to enable code reuse and improve the maintainability of software projects.
Please note: This master’s thesis presentation will take place online.
Niki Hasrati, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shai Ben-David
Please note: This master’s thesis presentation will take place online.
Anupa Murali, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bin Ma
Please note: This seminar will take place in DC 2585.
Felix Dangel, Postdoctoral Researcher
Vector Institute for Artificial Intelligence
Popular deep learning frameworks prioritize computing the average mini-batch gradient. Yet, other quantities such as its variance or many approximations to the Hessian can be computed efficiently, and at the same time as the gradient mean. They are of great interest to researchers and practitioners, but implementing them is often burdensome or inefficient.
Please note: This seminar will take place virtually over Zoom.
Pavel Izmailov, PhD candidate
Computer Science Department, New York University
Please note: This master’s thesis presentation will take place online.
Odunayo Ogundepo, Master’s candidate
David. R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Please note: This PhD seminar will take place online.
Greg Philbrick, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Craig Kaplan
This paper treats the subject of pseudo-3D modeling (via drawing in projective coordinates). I'll talk about the authors’ methods, as well as my own exploration of pseudo-3D drawing techniques.
Please note: This master’s thesis presentation will take place in DC 3317 and virtually over Zoom.
Eva Feng, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor David Toman
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Jason Li, Postdoctoral Fellow
Simons Institute, University of California, Berkeley
Please note: This master’s thesis presentation will take place in DC 1304 and virtually.
Benjamin Thérien, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Krzysztof Czarnecki
Please note: This seminar will take place in DC 1302.
Roswitha Rissner, Department of Mathematics
Alpen-Adria-Universität Klagenfurt, Austria
Given a square matrix B' over a (commutative) ring S, the null ideal N_0(B') is the ideal consisting of all polynomials f in S[X] for which f(B')=0. In the case that S=R/J is the residue class ring of a ring R modulo an ideal J, we can equivalently study the so-called J-ideals
N_J(B) = { f in R[X] | f(B) in M_n(J) }
Please note: This PhD defence will take place in DC 2564 and virtually over Zoom.
Wenhan (Cosmos) Zhu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Michael Godfrey
Please note: This PhD defence will take place online.
Yuhao Dong, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Raouf Boutaba
Please note: This PhD seminar will take place online.
Alessandra Luz, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This PhD seminar will take place online.
Xinyu Shi, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jian Zhao
Please note: This PhD seminar will take place online.
Charupriya Sharma, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Peter van Beek
Please note: This PhD seminar will take place in DC 1331.
Nolan Peter Shaw, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeff Orchard
Please note: This PhD seminar will take place in DC 2564.
Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun