Work

Demystifying randomness in generative AI

Year: 2025

Type: conference-paper

Abstract: This course offers a thorough exploration of the role of randomness in generative AI, leveraging foundational knowledge from

Source: MPG.PuRe (Max Planck Society)

Authors: Singh, G., Huang, X., Vandersanden, J., Oztireli, C., Mitra, N.

Institutions: Max Planck Institute for Informatics, University of Cambridge, Google (Switzerland), University College London

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7164627682

FWCI:

Cites: 28

Cited by:

Related to: 10