Seminar • Algorithms and Complexity • Towards Practical Distribution Testing
Please note: This seminar will take place in DC 3317 and online.
Yash Pote, PhD candidate
School of Computing, National University of Singapore
Yash Pote, PhD candidate
School of Computing, National University of Singapore
Kathrin Hövelmanns, Tenured Assistant Professor
Applied and Provable Security group, TU Eindhoven
Xupeng Miao, Postdoctoral Researcher
Computer Science Department, Carnegie Mellon University
In this talk, I will introduce my work on machine learning (ML) parallelization, a critical endeavor to bridge the significant gap between diverse ML programs and multitiered computing architectures. Specifically, I will explore ML parallelization at three distinct yet interconnected levels.
CS/FINE 383 is a third-year studio course where students work in an interdisciplinary environment to combine computer science principles with fine art technical and conceptual skills. Experience novel computational art works and aesthetic experiences using generative agents, advanced computer vision, distributed computing, and more.
Where is the Computational Art Exhibition?
Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Kira Selby, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Sanjeev Khanna
Henry Salvatori Professor of Computer and Information Science
University of Pennsylvania
Lydia Choong, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Lennart Nacke, Jian Zhao
Ehsan Ganjidoost, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeff Orchard