Research output per year
Research output per year
Personal profile
Research areas
My PhD project, supervised by Jichen Zhu, investigates co-creative applications of Generative Adversarial Networks (GANs) and other latent variable models. By developing interactive AI tools and frameworks for their theoretical understanding in parallel, I am studying how human-AI collaboration enables new forms of co-creativity.
I have a MSc in IT and Cognition, University of Copenhagen specialising in machine learning, and a BSc in Global Business Informatics, IT University of Copenhagen.
Next to my academic background, I worked on several cultural projects ranging from production and costume assistance to VR and interactive performance with, among others, the XR Studio Makropol, the cultural foundation Toepfer Stiftung, the performance group SIGNA, and the XR Creator’s Lab by the Bavarian Film Centre.
Keywords
- AI: Artificial Intelligence
- Art
- Deep Learning
- HCI: human-computer interaction
- visual communication
- AI in design & art
- genAI
- generative models
- DALL-E
- Midjourney
- Stable Diffusion
- GANs
- feature visualization
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Hidden Layer Interaction: A Co-Creative Design Fiction for Generative Models
Grabe, I. & Zhu, J., Apr 2023.Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research › peer-review
Open Access -
Towards Co-Creative Generative Adversarial Networks for Fashion Designers
Grabe, I. & Zhu, J., 2023, In: arXiv.Research output: Journal Article or Conference Article in Journal › Journal article › Research
Open Access -
Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space
Grabe, I., Zhu, J. & Agirrezabal, M., 2022, Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2022. Lecture Notes in Computer Science, vol 13221. Springer, Cham. https://doi.org/10.1007/978-3-031-03789-4_6.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
File -
Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications
Grabe, I., Duque, M. G., Risi, S. & Zhu, J., 2022, Joint Proceedings of the ACM IUI Workshops 2022, March 2022, Helsinki, Finland.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications
Grabe, I., Duque, M. G. & Zhu, J., 2022, Proceeding of the 3rd Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN ‘22)at ACM IUI Workshops.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open AccessFile
Press/Media
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Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications
09/08/2023
1 Media contribution
Press/Media: Press / Media
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Prizes
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Best Paper Award Finalist
Grabe, I. (Recipient) & Zhu, J. (Recipient), 2022
Prize: Prizes, scholarships, distinctions
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Outstanding Student Award
Grabe, I. (Recipient), 30 Apr 2022
Prize: Prizes, scholarships, distinctions
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Student Poster Award - Runner Up
Grabe, I. (Recipient), 30 Apr 2022
Prize: Prizes, scholarships, distinctions