Seminar

Please note: This PhD seminar will take place in M3 4206 and online.

Cameron Seth, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

Please note: This PhD seminar will take place online.

Marvin Pafla, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Mark Hancock

With the rise of large language models (LLMs) like GPT, the field of eXplainable artificial intelligence (XAI) has exploded and produced a plethora of methods  (e.g., saliency-maps) to gain insight into deep neural nets. However, human-participant studies question the efficacy of these methods, particularly when the AI output is wrong.

Please note: This seminar will take place in DC 1304 and online.

Mrinal Kumar, Faculty member
School of Technology and Computer Science, Tata Institute of Fundamental Research

Please note: This PhD seminar will take place in DC 1304 and online.

Shufan Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Xi He

Please note: This PhD seminar will take palce in M3 4206 and online.

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. 

Please note: This seminar will take place in M3 4206 and online.

Kaave Hosseini, Assistant Professor
Department of Computer Science, University of Rochester

Please note: This PhD seminar will take place online.

Mojtaba Valipour, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi

Please note: This CrySP Speakers Series on Privacy talk will take place in DC 1302 and virtually.

Marina Blanton, Associate Professor
Department of Computer Science and Engineering, University at Buffalo

Please note: This seminar will take place in DC 1304.

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.

Please note: This seminar will take place in DC 3102.

Akshay Ramachandran, Postdoctoral Researcher
Centrum Wiskunde & Informatica