id |
ijac202321209 |
authors |
Byrne, Ultan |
year |
2023 |
title |
A Parochial Comment on Midjourney |
source |
International Journal of Architectural Computing 2023, Vol. 21 - no. 2, 374–379 |
summary |
This paper recommends that critical attention towards machine learning should be focused on the ordering procedures at work in these models. More precisely, it draws attention to the central role of ‘latent spaces.’ The paper first explores ‘latent space’ through a series of analogies, and then briefly situates the concept in relation to a genealogy reaching back to developments in mathematical statistics at the turn to the 20th century |
keywords |
Midjourney, machine learning, latent space, projection, principal components analysis |
series |
journal |
references |
Content-type: text/plain
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Alexander ZÇ and Osman M (2021)
The Banister Fletchers’ Tabulations
, In Aggregate (eds) Writing Architectural History. University of Pittsburgh Press, p. 131
|
|
|
|
Althusser L (2001)
Ideology and Ideological State Apparatuses
, In “Lenin and Philosophy” Trans. Brewster. Monthly Review Press, 2001. pp. 127–186.
|
|
|
|
Arvanitidis G, Hansen L, Hauberg S (2018)
Latent Space Oddity: On the Curvature of Deep Generative Models
, ICLR 2018. pp. 1–15
|
|
|
|
Beniger JR and Robyn DL (1978)
Quantitative Graphics in Statistics: A Brief History
, The American Statistician 1978; 32:1, pp 1–11
|
|
|
|
Chatzimparmpas A, et al (2020)
Enhancing Trust in Machine Learning Models with the Use of Visualizations
, Computer Graphics Forum; 39:3, p. 713–756.
|
|
|
|
Cmiel K and Peters JD (2020)
Promiscuous Knowledge: Information, Image, and Other Truth Games in History
, Chicago: University of Chicago Press, 2020, p. 252.
|
|
|
|
Desrosieres A (1998)
The Politics of Large Numbers: A History of Statistical Reasoning. trans. Camille Naish
, Cambridge: Harvard University Press
|
|
|
|
Goodfellow I, Bengio Y, and Courville A (2016)
Deep Learning
, Cambridge: MIT Press, p. 45
|
|
|
|
Ho J, Jain A, and Abbeel P (2020)
Denoising Diffusion Probabilistic Models
, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada
|
|
|
|
Hotelling H (1933)
Analysis of a Complex of Statistical Variables into Principal Components
, The Journal of Educational Psychology 1933; 24:6, pp. 417–441.
|
|
|
|
Jones ML (2017)
Querying the Archive: Data Mining from Apriori to Page Rank
, In Daston L (ed) Science in the Archives: Pasts, Presents, Futures. Chicago: University of Chicago Press, 2017, pp. 311–25.
|
|
|
|
Liu Y, Jun E, Li Q, and Heer J (2019)
Latent Space Cartography: Visual Analysis of Vector Space Embeddings
, Computer Graphics Forum 2019; 38:3. pp. 67–78.
|
|
|
|
Mackenzie A (2017)
Machine Learners: Archeology of a Data Practice
, Cambridge: MIT Press, p. 51
|
|
|
|
MacKenzie D (1976)
Eugenics in Britain
, Social Studies of Science 1976; 6:3/4, pp
|
|
|
|
Page L, Brin S, et al (1999)
The PageRank Citation Ranking: Bringing Order to the Web
, Technical Report, Stanford InfoLab, 1999;
|
|
|
|
Pearson K. LIII (1901)
On Lines and Planes of Closest Fit to Systems of Points in Space
, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 1901, 2:11, pp. 559–572.
|
|
|
|
Pearson K. LIII (1901)
On Lines and Planes of Closest Fit to Systems of Points in Space
, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 1901, 2:11, p. 560.
|
|
|
|
Pearson K. LIII. (1901)
On Lines and Planes of Closest Fit to Systems of Points in Space
, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 1901, 2:11, pp. 559–572.
|
|
|
|
Porter TM (1986)
The Rise of Statistical Thinking: 1820-1900
, Princeton: Princeton University Press,
|
|
|
|
Porter TM (1986)
The Rise of Statistical Thinking: 1820-1900
, Princeton: Princeton University Press, 1986, p
|
|
|
|
last changed |
2024/04/17 14:30 |
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