DeepDream (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "DeepDream" in Portuguese language version.

refsWebsite

Global rank Portuguese rank

10doi.org

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7arxiv.org

69^th place

195^th place

6harvard.edu

18^th place

51^st place

5nih.gov

4^th place

8^th place

3worldcat.org

5^th place

2googleresearch.blogspot.co.uk

low place

2web.archive.org

1^st place

1github.com

383^rd place

814^th place

1wired.co.uk

2,053^rd place

2,359^th place

1theverge.com

114^th place

219^th place

1theatlantic.com

228^th place

292^nd place

1hu-berlin.de

2,869^th place

3,582^nd place

1youtube.com

9^th place

39^th place

arxiv.org

Szegedy, Christian; Liu, Wei; Jia, Yangqing; Sermanet, Pierre; Reed, Scott E.; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (2015). «Going deeper with convolutions». IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7–12, 2015. IEEE Computer Society. pp. 1–9. arXiv:1409.4842. doi:10.1109/CVPR.2015.7298594
Simonyan, Karen; Vedaldi, Andrea; Zisserman, Andrew (2014). Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. arXiv:1312.6034
Mahendran, Aravindh; Vedaldi, Andrea (2015). «Understanding Deep Image Representations by Inverting Them». 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Conference on Computer Vision and Pattern Recognition. pp. 5188–5196. ISBN 978-1-4673-6964-0. arXiv:1412.0035. doi:10.1109/CVPR.2015.7299155
Yosinski, Jason; Clune, Jeff; Nguyen, Anh; Fuchs, Thomas. Understanding Neural Networks Through Deep Visualization. Deep Learning Workshop, International Conference on Machine Learning (ICML) Deep Learning Workshop. arXiv:1506.06579
Nguyen, Anh; Dosovitskiy, Alexey; Yosinski, Jason; Brox, Thomas. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. arxiv. Bibcode:2016arXiv160509304N. arXiv:1605.09304
Arora, Sanjeev; Liang, Yingyu; Tengyu, Ma. Why are deep nets reversible: A simple theory, with implications for training. arxiv. Bibcode:2015arXiv151105653A. arXiv:1511.05653
Spratt, Emily L. «Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image» (PDF). Humboldt-Universität zu Berlin. Kunsttexte. 4. Bibcode:2018arXiv180201274S. arXiv:1802.01274

doi.org

dx.doi.org

Szegedy, Christian; Liu, Wei; Jia, Yangqing; Sermanet, Pierre; Reed, Scott E.; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (2015). «Going deeper with convolutions». IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7–12, 2015. IEEE Computer Society. pp. 1–9. arXiv:1409.4842. doi:10.1109/CVPR.2015.7298594
Lewis, J.P. (1988). «Creation by refinement: a creativity paradigm for gradient descent learning networks». IEEE International Conference on Neural Networks. IEEE International Conference on Neural Networks. pp. 229–233 vol.2. ISBN 0-7803-0999-5. doi:10.1109/ICNN.1988.23933
Portilla, J; Simoncelli, Eero (2000). «A parametric texture model based on joint statistics of complex wavelet coefficients». International Journal of Computer Vision. 40: 49–70. doi:10.1023/A:1026553619983
Hayes, Brian (2015). «Computer Vision and Computer Hallucinations». American Scientist. 103 (6). 380 páginas. ISSN 0003-0996. doi:10.1511/2015.117.380
Mahendran, Aravindh; Vedaldi, Andrea (2015). «Understanding Deep Image Representations by Inverting Them». 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Conference on Computer Vision and Pattern Recognition. pp. 5188–5196. ISBN 978-1-4673-6964-0. arXiv:1412.0035. doi:10.1109/CVPR.2015.7299155
Timmermann, Christopher (12 de dezembro de 2020). «Neural Network Models for DMT-induced Visual Hallucinations». NIH. Neuroscience of Consciousness. 2020 (1): niaa024. PMC 7734438. PMID 33343929. doi:10.1093/nc/niaa024
Suzuki, Keisuke. «A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology». Sci Rep. 7 (1). 15982 páginas. Bibcode:2017NatSR...715982S. PMC 5700081. PMID 29167538. doi:10.1038/s41598-017-16316-2
Greco, Antonino; Gallitto, Giuseppe; D’Alessandro, Marco; Rastelli, Clara. «Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology». Entropy (em inglês). 23 (7). 839 páginas. Bibcode:2021Entrp..23..839G. ISSN 1099-4300. PMC 8306862. PMID 34208923. doi:10.3390/e23070839
Carhart-Harris, Robin; Leech, Robert; Hellyer, Peter; Shanahan, Murray; Feilding, Amanda; Tagliazucchi, Enzo; Chialvo, Dante; Nutt, David. «The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs». Frontiers in Human Neuroscience. 8: 20. ISSN 1662-5161. PMC 3909994. PMID 24550805. doi:10.3389/fnhum.2014.00020
Rastelli, Clara; Greco, Antonino; Kennett, Yoed; Finocchiaro, Chiara; De Pisapia, Nicola. «Simulated visual hallucinations in virtual reality enhance cognitive flexibility». Sci Rep. 12 (1): 4027. Bibcode:2022NatSR..12.4027R. PMC 8901713. PMID 35256740. doi:10.1038/s41598-022-08047-w

github.com

deepdream no GitHub

googleresearch.blogspot.co.uk

Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). «DeepDream - a code example for visualizing Neural Networks». Google Research. Cópia arquivada em 8 de julho de 2015
Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). «Inceptionism: Going Deeper into Neural Networks». Google Research. Cópia arquivada em 3 de julho de 2015

harvard.edu

ui.adsabs.harvard.edu

Nguyen, Anh; Dosovitskiy, Alexey; Yosinski, Jason; Brox, Thomas. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. arxiv. Bibcode:2016arXiv160509304N. arXiv:1605.09304
Arora, Sanjeev; Liang, Yingyu; Tengyu, Ma. Why are deep nets reversible: A simple theory, with implications for training. arxiv. Bibcode:2015arXiv151105653A. arXiv:1511.05653
Spratt, Emily L. «Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image» (PDF). Humboldt-Universität zu Berlin. Kunsttexte. 4. Bibcode:2018arXiv180201274S. arXiv:1802.01274
Suzuki, Keisuke. «A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology». Sci Rep. 7 (1). 15982 páginas. Bibcode:2017NatSR...715982S. PMC 5700081. PMID 29167538. doi:10.1038/s41598-017-16316-2
Greco, Antonino; Gallitto, Giuseppe; D’Alessandro, Marco; Rastelli, Clara. «Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology». Entropy (em inglês). 23 (7). 839 páginas. Bibcode:2021Entrp..23..839G. ISSN 1099-4300. PMC 8306862. PMID 34208923. doi:10.3390/e23070839
Rastelli, Clara; Greco, Antonino; Kennett, Yoed; Finocchiaro, Chiara; De Pisapia, Nicola. «Simulated visual hallucinations in virtual reality enhance cognitive flexibility». Sci Rep. 12 (1): 4027. Bibcode:2022NatSR..12.4027R. PMC 8901713. PMID 35256740. doi:10.1038/s41598-022-08047-w

hu-berlin.de

edoc.hu-berlin.de

Spratt, Emily L. «Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image» (PDF). Humboldt-Universität zu Berlin. Kunsttexte. 4. Bibcode:2018arXiv180201274S. arXiv:1802.01274

nih.gov

ncbi.nlm.nih.gov

Timmermann, Christopher (12 de dezembro de 2020). «Neural Network Models for DMT-induced Visual Hallucinations». NIH. Neuroscience of Consciousness. 2020 (1): niaa024. PMC 7734438. PMID 33343929. doi:10.1093/nc/niaa024
Suzuki, Keisuke. «A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology». Sci Rep. 7 (1). 15982 páginas. Bibcode:2017NatSR...715982S. PMC 5700081. PMID 29167538. doi:10.1038/s41598-017-16316-2
Greco, Antonino; Gallitto, Giuseppe; D’Alessandro, Marco; Rastelli, Clara. «Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology». Entropy (em inglês). 23 (7). 839 páginas. Bibcode:2021Entrp..23..839G. ISSN 1099-4300. PMC 8306862. PMID 34208923. doi:10.3390/e23070839
Carhart-Harris, Robin; Leech, Robert; Hellyer, Peter; Shanahan, Murray; Feilding, Amanda; Tagliazucchi, Enzo; Chialvo, Dante; Nutt, David. «The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs». Frontiers in Human Neuroscience. 8: 20. ISSN 1662-5161. PMC 3909994. PMID 24550805. doi:10.3389/fnhum.2014.00020
Rastelli, Clara; Greco, Antonino; Kennett, Yoed; Finocchiaro, Chiara; De Pisapia, Nicola. «Simulated visual hallucinations in virtual reality enhance cognitive flexibility». Sci Rep. 12 (1): 4027. Bibcode:2022NatSR..12.4027R. PMC 8901713. PMID 35256740. doi:10.1038/s41598-022-08047-w

theatlantic.com

LaFrance, Adrienne. «When Robots Hallucinate». The Atlantic. Consultado em 24 de setembro de 2015

theverge.com

Rich McCormick. «Fear and Loathing in Las Vegas is terrifying through the eyes of a computer». The Verge

web.archive.org

Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). «DeepDream - a code example for visualizing Neural Networks». Google Research. Cópia arquivada em 8 de julho de 2015
Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). «Inceptionism: Going Deeper into Neural Networks». Google Research. Cópia arquivada em 3 de julho de 2015

wired.co.uk

Daniel Culpan. «These Google "Deep Dream" Images Are Weirdly Mesmerising». Wired

worldcat.org

Hayes, Brian (2015). «Computer Vision and Computer Hallucinations». American Scientist. 103 (6). 380 páginas. ISSN 0003-0996. doi:10.1511/2015.117.380
Greco, Antonino; Gallitto, Giuseppe; D’Alessandro, Marco; Rastelli, Clara. «Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology». Entropy (em inglês). 23 (7). 839 páginas. Bibcode:2021Entrp..23..839G. ISSN 1099-4300. PMC 8306862. PMID 34208923. doi:10.3390/e23070839
Carhart-Harris, Robin; Leech, Robert; Hellyer, Peter; Shanahan, Murray; Feilding, Amanda; Tagliazucchi, Enzo; Chialvo, Dante; Nutt, David. «The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs». Frontiers in Human Neuroscience. 8: 20. ISSN 1662-5161. PMC 3909994. PMID 24550805. doi:10.3389/fnhum.2014.00020

youtube.com

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