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Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity
R Qadri, P Mirowski, A Gabriellan, F Mehr… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper proposes dialogue as a method for evaluating generative AI tools for culturally-
situated creative practice, that recognizes the socially situated nature of art. Drawing on …
situated creative practice, that recognizes the socially situated nature of art. Drawing on …
Practical and ethical considerations for generative AI in medical imaging
Abstract Generative Artificial Intelligence (AI) has the potential to transform medicine. It is
helpful to clinicians and radiologists for diagnosis, screening, treatment planning …
helpful to clinicians and radiologists for diagnosis, screening, treatment planning …
Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models
AM Aboussalah, Y Abbahaddou - arxiv preprint arxiv:2412.11292, 2024 - arxiv.org
Generative models like Generative Adversarial Networks (GANs) and Variational
Autoencoders (VAEs) often fail to capture the full diversity of their training data, leading to …
Autoencoders (VAEs) often fail to capture the full diversity of their training data, leading to …
Practical and Ethical Considerations for Generative AI in Medical Imaging
Generative Artificial Intelligence (AI) has the potential to transform medicine. It is helpful to
clinicians and radiologists for diagnosis, screening, treatment planning, interventions, and …
clinicians and radiologists for diagnosis, screening, treatment planning, interventions, and …
Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models
Y ABBAHADDOU, AM Aboussalah - openreview.net
Generative models like Generative Adversarial Networks (GANs) and Variational
Autoencoders (VAEs) often fail to capture the full diversity of their training data, leading to …
Autoencoders (VAEs) often fail to capture the full diversity of their training data, leading to …