Deep Unsupervised Learning using Nonequilibrium Thermodynamics
2015 • 11920 Citations
Published in Proceedings of the 32nd International Conference on Machine Learning (ICML 2015)
Surya Ganguli
Surya Ganguli is a researcher affiliated with Associate Professor, Stanford University, specializing in AI & Machine Learning. Their work has been cited 49,067 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
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0i10-index
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Associate Professor, Stanford University•
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Surya Ganguli's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 49,067
- Citing Countries
- 1
As of April 2026.
Surya Ganguli has an h-index of 1 and 49,067 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
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Top Citing Countries(Limited)
United States(US)
20Top Citing Institutions(Limited)
Physical Intelligence
20Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (20 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Kevin Black
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #2
Noah Brown
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #3
Danny Driess
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #4
Adnan Esmail
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #5
Michael Equi
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #6
Chelsea Finn
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #7
Niccolo Fusai
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #8
Lachy Groom
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #9
Karol Hausman
5.0Physical Intelligence
United States· Cited your work 1 time
Independent - #10
Brian Ichter
5.0Physical Intelligence
United States· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Stanford University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”
· cites “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”
Kevin Black, Noah Brown, Danny Driess, Adnan Esmail + 16 more
Robotics: Science and Systems (RSS) 2025· cites “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”
· cites “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”
· cites “Deep Unsupervised Learning using Nonequilibrium Thermodynamics”
Top Cited Works(Showing 1 of 1)
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Citation Trend (Last 10 Years)
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