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David Munechika
David Munechika
Undergraduate Student, Georgia Institute of Technology
Verified email at gatech.edu
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Year
Diffusiondb: A large-scale prompt gallery dataset for text-to-image generative models
ZJ Wang, E Montoya, D Munechika, H Yang, B Hoover, DH Chau
arXiv preprint arXiv:2210.14896, 2022
1232022
Visual auditor: Interactive visualization for detection and summarization of model biases
D Munechika, ZJ Wang, J Reidy, J Rubin, K Gade, K Kenthapadi, ...
2022 IEEE Visualization and Visual Analytics (VIS), 45-49, 2022
122022
Nova: A practical method for creating notebook-ready visual analytics
ZJ Wang, D Munechika, S Lee, DH Chau
arXiv preprint arXiv:2205.03963, 2022
72022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. In 2022 IEEE Visualization and Visual Analytics (VIS)
D Munechika, ZJ Wang, J Reidy, J Rubin, K Gade, K Kenthapadi, ...
IEEE, 2022
52022
Wordflow: Social Prompt Engineering for Large Language Models
ZJ Wang, A Chakravarthy, D Munechika, DH Chau
arXiv preprint arXiv:2401.14447, 2024
22024
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
J Blalock, D Munechika, H Karanth, A Helbling, P Mehta, S Lee, DH Chau
arXiv preprint arXiv:2402.01877, 2024
2024
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
ZJ Wang, D Munechika, S Lee, DH Chau
arXiv preprint arXiv:2305.03039, 2023
2023
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