Anima Anandkumar (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Anima Anandkumar" in English language version.

refsWebsite

Global rank English rank

8doi.org

2^nd place

8web.archive.org

1^st place

7worldcat.org

5^th place

6arxiv.org

69^th place

59^th place

4harvard.edu

18^th place

17^th place

4nih.gov

4^th place

4caltech.edu

887^th place

714^th place

4uci.edu

3,063^rd place

2,041^st place

3acm.org

1,185^th place

840^th place

2semanticscholar.org

11^th place

8^th place

2youtube.com

9^th place

13^th place

2ted.com

2,327^th place

1,627^th place

2wired.com

193^rd place

152^nd place

2ucla.edu

782^nd place

585^th place

2oreilly.com

4,347^th place

3,017^th place

2nvidia.com

2,503^rd place

1,760^th place

1widsconference.org

low place

1nsf.gov

3,828^th place

2,823^rd place

1amazon.com

105^th place

79^th place

1packtpub.com

low place

1mlconf.com

low place

1daily-ai.com

low place

1worldgovernmentsummit.org

low place

1idsnews.com

low place

1quantamagazine.org

6,413^th place

4,268^th place

1nationalacademies.org

7,189^th place

6,078^th place

1siam.org

low place

6,473^rd place

1turing.ac.uk

low place

1t5eiitm.org

low place

1indiatimes.com

17^th place

15^th place

1nytimes.com

7^th place

1geekwire.com

4,157^th place

2,583^rd place

1archive.today

14^th place

1twitter.com

23^rd place

32^nd place

1anima-ai.org

low place

1berkeley.edu

580^th place

462^nd place

1time.com

61^st place

54^th place

1ieee.org

652^nd place

515^th place

1blavatnikawards.org

low place

1gf.org

7,930^th place

5,615^th place

1schmidtfutures.org

low place

1googleblog.com

1,272^nd place

837^th place

1cornell.edu

332^nd place

246^th place

1psu.edu

207^th place

136^th place

acm.org

"ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research Awarded to Team for Modelling How Pandemic-Causing Viruses, Especially SARS-CoV-2, are Identified and Classified". Retrieved 30 March 2024.
"ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research Awarded to Team for Modelling How Pandemic-Causing Viruses, Especially SARS-CoV-2, are Identified and Classified". Retrieved 30 March 2024.
"Global computing association names 57 fellows for outstanding contributions that propel technology today". Association for Computing Machinery. January 18, 2023. Retrieved 2023-01-18.

amazon.com

aws.amazon.com

"In the Research Spotlight: Anima Anandkumar". Amazon Web Services. 2017-05-16. Retrieved 2019-01-07.

anima-ai.org

"My heartfelt apology". Retrieved 2020-12-16.

archive.today

"Archive of Twitter comments, now deleted". Archived from the original on 2020-12-14.

arxiv.org

Anandkumar, Anima; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus (2012-12-08). "Tensor Decompositions for Learning Latent Variable Models". Journal of Machine Learning Research. Fort Belvoir, VA. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. doi:10.21236/ada604494. S2CID 14587260.
Azizzadenesheli, Kamyar; Kovachki, Nikola; Li, Zongyi; Liu-Schiaffini, Miguel; Kossaifi, Jean; Anandkumar, Anima (May 2024). "Neural operators for accelerating scientific simulations and design". Nature Reviews Physics. 6 (5): 320–328. arXiv:2309.15325. Bibcode:2024NatRP...6..320A. doi:10.1038/s42254-024-00712-5.
Pathak, J., Subramanian, S., Harrington, P. B., Raja, S. S., Chattopadhyay, A., Mardani, M., Kurth, T., Hall, D., Li, Z., Azizzadenesheli, K., Hassanzadeh, P., Kashinath, K., Anandkumar, A. (22 February 2022). "FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators". PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference. abs/2202.11214. arXiv:2202.11214.
Zhou, Tingtao; Wan, Xuan; Huang, Daniel Zhengyu; Li, Zongyi; Peng, Zhiwei; Anandkumar, Anima; Brady, John F.; Sternberg, Paul W.; Daraio, Chiara (2024). "AI-aided geometric design of anti-infection catheters". Science Advances. 10 (1): eadj1741. arXiv:2304.14554. Bibcode:2024SciA...10J1741Z. doi:10.1126/sciadv.adj1741. PMC 10776022. PMID 38170782.
Wang, Guanzhi; Xie, Yuqi; Jiang, Yunfan; Mandlekar, Ajay; Xiao, Chaowei; Zhu, Yuke; Fan, Linxi; Anandkumar, Anima (30 March 2023). "Voyager: An Open-Ended Embodied Agent with Large Language Models". arXiv:2305.16291 [cs.AI].
Yecheng Jason Ma; Liang, William; Wang, Guanzhi; Huang, De-An; Bastani, Osbert; Jayaraman, Dinesh; Zhu, Yuke; Fan, Linxi; Anandkumar, Anima (2023). "Eureka: Human-Level Reward Design via Coding Large Language Models". arXiv:2310.12931 [cs.RO].

berkeley.edu

simons.berkeley.edu

"Anima Anandkumar | Simons Institute for the Theory of Computing". simons.berkeley.edu. 22 September 2016. Retrieved 2019-01-07.

blavatnikawards.org

"Anima Anandkumar 2024 National Award Finalist - Faculty". Blavatnik Awards.

caltech.edu

cms.caltech.edu

Anima Anandkumar Briefs PCAST on AI Enabling Science, 2024, retrieved 30 March 2024
"Caltech Computing + Mathematical Sciences | News | Anima Anandkumar Elevated to IEEE Fellow". Archived from the original on 2020-12-22. Retrieved 2020-12-31.

resolver.caltech.edu

Anandkumar, Animashree; Tong, Lang (2006). "Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels". 2006 40th Annual Conference on Information Sciences and Systems. pp. 38–43. doi:10.1109/CISS.2006.286427. ISBN 1-4244-0349-9.

caltech.edu

"Caltech Celebrates Newest Cohort of Named Professors | Caltech". The California Institute of Technology. Archived from the original on 2019-01-09. Retrieved 2019-01-08.

cornell.edu

acsp.ece.cornell.edu

"Honors and Awards". acsp.ece.cornell.edu. Retrieved 2019-01-07.

daily-ai.com

Daily-AI (2018-11-30). "NVIDIA Opening Core AI and ML Research Lab in Santa Clara". Daily AI. Archived from the original on 2019-04-14. Retrieved 2019-01-07.

doi.org

"Contributors". IEEE Transactions on Information Theory. 54 (7): 3371–3382. 2008. doi:10.1109/TIT.2008.924739. ISSN 0018-9448.
Anandkumar, Animashree; Tong, Lang (2006). "Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels". 2006 40th Annual Conference on Information Sciences and Systems. pp. 38–43. doi:10.1109/CISS.2006.286427. ISBN 1-4244-0349-9.
Anandkumar, Anima; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus (2012-12-08). "Tensor Decompositions for Learning Latent Variable Models". Journal of Machine Learning Research. Fort Belvoir, VA. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. doi:10.21236/ada604494. S2CID 14587260.
Azizzadenesheli, Kamyar; Kovachki, Nikola; Li, Zongyi; Liu-Schiaffini, Miguel; Kossaifi, Jean; Anandkumar, Anima (May 2024). "Neural operators for accelerating scientific simulations and design". Nature Reviews Physics. 6 (5): 320–328. arXiv:2309.15325. Bibcode:2024NatRP...6..320A. doi:10.1038/s42254-024-00712-5.
Zhou, Tingtao; Wan, Xuan; Huang, Daniel Zhengyu; Li, Zongyi; Peng, Zhiwei; Anandkumar, Anima; Brady, John F.; Sternberg, Paul W.; Daraio, Chiara (2024). "AI-aided geometric design of anti-infection catheters". Science Advances. 10 (1): eadj1741. arXiv:2304.14554. Bibcode:2024SciA...10J1741Z. doi:10.1126/sciadv.adj1741. PMC 10776022. PMID 38170782.
Zvyagin, Maxim; et al. (2023). "GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics". The International Journal of High Performance Computing Applications. 37 (6): 683–705. bioRxiv 10.1101/2022.10.10.511571. doi:10.1177/10943420231201154. ISSN 1094-3420. PMC 9709791. PMID 36451881.
"Anima Anandkumar to Receive the 2025 IEEE Kiyo Tomiyasu Award [Society News]". IEEE Robotics & Automation Magazine. 31 (4): 193. 2024. doi:10.1109/MRA.2024.3478648.
Anandkumar, Animashree; Tong, Lang (October 2007). "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels". IEEE Transactions on Signal Processing. 55 (10): 5032–5043. Bibcode:2007ITSP...55.5032A. CiteSeerX 10.1.1.71.1653. doi:10.1109/tsp.2007.896302. ISSN 1053-587X. S2CID 10708719.

geekwire.com

Soper, Taylor (16 December 2020). "Retired UW computer science professor embroiled in Twitter spat over AI ethics and 'cancel culture'". GeekWire. Retrieved 17 December 2020.

gf.org

"ANNOUNCING THE 2023 GUGGENHEIM FELLOWS". Retrieved 30 March 2024.

googleblog.com

ai.googleblog.com

"Google Research Awards: Fall 2015". Google AI Blog. 12 February 2016. Retrieved 2019-01-07.

harvard.edu

ui.adsabs.harvard.edu

Anandkumar, Anima; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus (2012-12-08). "Tensor Decompositions for Learning Latent Variable Models". Journal of Machine Learning Research. Fort Belvoir, VA. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. doi:10.21236/ada604494. S2CID 14587260.
Azizzadenesheli, Kamyar; Kovachki, Nikola; Li, Zongyi; Liu-Schiaffini, Miguel; Kossaifi, Jean; Anandkumar, Anima (May 2024). "Neural operators for accelerating scientific simulations and design". Nature Reviews Physics. 6 (5): 320–328. arXiv:2309.15325. Bibcode:2024NatRP...6..320A. doi:10.1038/s42254-024-00712-5.
Zhou, Tingtao; Wan, Xuan; Huang, Daniel Zhengyu; Li, Zongyi; Peng, Zhiwei; Anandkumar, Anima; Brady, John F.; Sternberg, Paul W.; Daraio, Chiara (2024). "AI-aided geometric design of anti-infection catheters". Science Advances. 10 (1): eadj1741. arXiv:2304.14554. Bibcode:2024SciA...10J1741Z. doi:10.1126/sciadv.adj1741. PMC 10776022. PMID 38170782.
Anandkumar, Animashree; Tong, Lang (October 2007). "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels". IEEE Transactions on Signal Processing. 55 (10): 5032–5043. Bibcode:2007ITSP...55.5032A. CiteSeerX 10.1.1.71.1653. doi:10.1109/tsp.2007.896302. ISSN 1053-587X. S2CID 10708719.

idsnews.com

"'From Ashes We Rise' TEDxIU talk to feature six speakers". Indiana Daily Student. Retrieved 2019-01-07.

ieee.org

ieeexplore.ieee.org

"Anima Anandkumar to Receive the 2025 IEEE Kiyo Tomiyasu Award [Society News]". IEEE Robotics & Automation Magazine. 31 (4): 193. 2024. doi:10.1109/MRA.2024.3478648.

indiatimes.com

economictimes.indiatimes.com

"More girl students to get admission in IITs from 2018". The Economic Times. 2017-04-15. Retrieved 2019-01-07.

mlconf.com

Courtney (2018-07-06). "Dr. Anima Anandkumar has Joined the MLconf Board of Advisors!". The Machine Learning Conference. Retrieved 2019-01-07.

nationalacademies.org

Machine Learning in Mechanics: The U.S. National Committee on Theoretical and Applied Mechanics (USNC/TAM), 2020, retrieved 30 March 2024

nih.gov

ncbi.nlm.nih.gov

Zhou, Tingtao; Wan, Xuan; Huang, Daniel Zhengyu; Li, Zongyi; Peng, Zhiwei; Anandkumar, Anima; Brady, John F.; Sternberg, Paul W.; Daraio, Chiara (2024). "AI-aided geometric design of anti-infection catheters". Science Advances. 10 (1): eadj1741. arXiv:2304.14554. Bibcode:2024SciA...10J1741Z. doi:10.1126/sciadv.adj1741. PMC 10776022. PMID 38170782.
Zvyagin, Maxim; et al. (2023). "GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics". The International Journal of High Performance Computing Applications. 37 (6): 683–705. bioRxiv 10.1101/2022.10.10.511571. doi:10.1177/10943420231201154. ISSN 1094-3420. PMC 9709791. PMID 36451881.

pubmed.ncbi.nlm.nih.gov

Zhou, Tingtao; Wan, Xuan; Huang, Daniel Zhengyu; Li, Zongyi; Peng, Zhiwei; Anandkumar, Anima; Brady, John F.; Sternberg, Paul W.; Daraio, Chiara (2024). "AI-aided geometric design of anti-infection catheters". Science Advances. 10 (1): eadj1741. arXiv:2304.14554. Bibcode:2024SciA...10J1741Z. doi:10.1126/sciadv.adj1741. PMC 10776022. PMID 38170782.
Zvyagin, Maxim; et al. (2023). "GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics". The International Journal of High Performance Computing Applications. 37 (6): 683–705. bioRxiv 10.1101/2022.10.10.511571. doi:10.1177/10943420231201154. ISSN 1094-3420. PMC 9709791. PMID 36451881.

nsf.gov

"NSF Award Search: Award#1251267 - BIGDATA: Small: DA: DCM: Measurement and Learning in Large-Scale Social Networks". www.nsf.gov. Retrieved 2019-01-07.

nvidia.com

research.nvidia.com

"Anima Anandkumar | Research". research.nvidia.com. Retrieved 2019-01-07.

news.developer.nvidia.com

"NVIDIA Leaders Honored at VentureBeat Transform 'Women in AI Awards'". 17 July 2020.

nytimes.com

Roose, Kevin (2018-12-21). "The 2018 Good Tech Awards". The New York Times. ISSN 0362-4331. Retrieved 2019-01-08.

oreilly.com

Lorica, Ben (2017-03-09). "Deep learning that's easy to implement and easy to scale". O'Reilly Media. Retrieved 2019-01-07.

conferences.oreilly.com

Anandkumar, Anima. "Office Hour with Anima Anandkumar (UC Irvine): Big data conference: Strata + Hadoop World, March 13 - 16, 2017, San Jose, CA". conferences.oreilly.com. Retrieved 2019-01-07.

packtpub.com

hub.packtpub.com

Sugandha Lahoti (2018-09-01). "Anima Anandkumar, the machine learning guru behind AWS bids adieu to AWS". Packt Hub. Retrieved 2019-01-07.

psu.edu

citeseerx.ist.psu.edu

Anandkumar, Animashree; Tong, Lang (October 2007). "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels". IEEE Transactions on Signal Processing. 55 (10): 5032–5043. Bibcode:2007ITSP...55.5032A. CiteSeerX 10.1.1.71.1653. doi:10.1109/tsp.2007.896302. ISSN 1053-587X. S2CID 10708719.

quantamagazine.org

The Year in Math and Computer Science, 2021, retrieved 30 March 2024

schmidtfutures.org

"Second Cohort of AI2050 Senior Fellows Named By Schmidt Futures". 17 October 2023. Retrieved 30 March 2024.

semanticscholar.org

api.semanticscholar.org

Anandkumar, Anima; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus (2012-12-08). "Tensor Decompositions for Learning Latent Variable Models". Journal of Machine Learning Research. Fort Belvoir, VA. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. doi:10.21236/ada604494. S2CID 14587260.
Anandkumar, Animashree; Tong, Lang (October 2007). "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels". IEEE Transactions on Signal Processing. 55 (10): 5032–5043. Bibcode:2007ITSP...55.5032A. CiteSeerX 10.1.1.71.1653. doi:10.1109/tsp.2007.896302. ISSN 1053-587X. S2CID 10708719.

siam.org

AN21 Invited Presentations, 2024, retrieved 30 March 2024

t5eiitm.org

Ghosh, Shubhangi (2018-01-18). "Shaastra Spotlight Interviews: Anima Anandkumar". The Fifth Estate. Archived from the original on 2019-05-28. Retrieved 2019-01-07.

ted.com

Anandkumar, Anima (9 July 2024). "AI that connects the digital and physical worlds". TED.
Anandkumar, Anima (9 July 2024). "AI that connects the digital and physical worlds". TED.

time.com

Pillay, Tharin (6 February 2025). "Anima Anandkumar Accelerates Scientific Discovery with AI". Time.

turing.ac.uk

Nature Reviews Physics: Machine learning research in industry, 2024, retrieved 30 March 2024

twitter.com

"Archive of Twitter comments, now deleted". Archived from the original on 2020-12-14.

uci.edu

cml.ics.uci.edu

"Anandkumar receives AFOSR Young Investigator Award | Center for Machine Learning and Intelligent Systems". 22 January 2015. Retrieved 2019-01-07.
"Anandkumar Receives 'Early-Career' Sloan Research Fellowship | Center for Machine Learning and Intelligent Systems". 20 February 2014. Retrieved 2019-01-07.

datascience.uci.edu

"Anima Anandkumar". UCI Data Science Initiative. Archived from the original on 2015-03-05. Retrieved 2019-01-07.

engineering.uci.edu

"Microsoft Research Names Anima Anandkumar a Faculty Fellow | The Henry Samueli School of Engineering at UC Irvine". engineering.uci.edu. Retrieved 2019-01-07.

ucla.edu

anderson.ucla.edu

"Speakers | UCLA Anderson School of Management". www.anderson.ucla.edu. Archived from the original on 2019-01-08. Retrieved 2019-01-07.

ww3.math.ucla.edu

Anima Anandkumar, 2024, retrieved 30 March 2024

web.archive.org

"Anima Anandkumar". Women in Data Science (WiDS) Conference 2019. Archived from the original on 2019-01-08. Retrieved 2019-01-07.
"Anima Anandkumar". UCI Data Science Initiative. Archived from the original on 2015-03-05. Retrieved 2019-01-07.
"Speakers | UCLA Anderson School of Management". www.anderson.ucla.edu. Archived from the original on 2019-01-08. Retrieved 2019-01-07.
"Caltech Celebrates Newest Cohort of Named Professors | Caltech". The California Institute of Technology. Archived from the original on 2019-01-09. Retrieved 2019-01-08.
Daily-AI (2018-11-30). "NVIDIA Opening Core AI and ML Research Lab in Santa Clara". Daily AI. Archived from the original on 2019-04-14. Retrieved 2019-01-07.
"Home". TEDxIndianaUniversity. Archived from the original on June 2, 2015. Retrieved 2019-01-07.
Ghosh, Shubhangi (2018-01-18). "Shaastra Spotlight Interviews: Anima Anandkumar". The Fifth Estate. Archived from the original on 2019-05-28. Retrieved 2019-01-07.
"Caltech Computing + Mathematical Sciences | News | Anima Anandkumar Elevated to IEEE Fellow". Archived from the original on 2020-12-22. Retrieved 2020-12-31.

widsconference.org

"Anima Anandkumar". Women in Data Science (WiDS) Conference 2019. Archived from the original on 2019-01-08. Retrieved 2019-01-07.

wired.com

Simonite, Tom (2018-08-17). "AI Is the Future—But Where Are the Women?". Wired. ISSN 1059-1028. Retrieved 2019-01-07.
Simonite, Tom (2018-10-26). "AI Researchers Fight Over Four Letters: NIPS". Wired. ISSN 1059-1028. Retrieved 2019-01-07.

worldcat.org

search.worldcat.org

"Contributors". IEEE Transactions on Information Theory. 54 (7): 3371–3382. 2008. doi:10.1109/TIT.2008.924739. ISSN 0018-9448.
Animashree., Anandkumar (2009). Scalable algorithms for distributed statistical inference. OCLC 458398906.
Zvyagin, Maxim; et al. (2023). "GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics". The International Journal of High Performance Computing Applications. 37 (6): 683–705. bioRxiv 10.1101/2022.10.10.511571. doi:10.1177/10943420231201154. ISSN 1094-3420. PMC 9709791. PMID 36451881.
Simonite, Tom (2018-08-17). "AI Is the Future—But Where Are the Women?". Wired. ISSN 1059-1028. Retrieved 2019-01-07.
Simonite, Tom (2018-10-26). "AI Researchers Fight Over Four Letters: NIPS". Wired. ISSN 1059-1028. Retrieved 2019-01-07.
Roose, Kevin (2018-12-21). "The 2018 Good Tech Awards". The New York Times. ISSN 0362-4331. Retrieved 2019-01-08.
Anandkumar, Animashree; Tong, Lang (October 2007). "Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels". IEEE Transactions on Signal Processing. 55 (10): 5032–5043. Bibcode:2007ITSP...55.5032A. CiteSeerX 10.1.1.71.1653. doi:10.1109/tsp.2007.896302. ISSN 1053-587X. S2CID 10708719.

worldgovernmentsummit.org

"Dr. Anima Anandkumar". World Government Summit - Speakers. Retrieved 2019-01-07.

youtube.com

Amazon Web Services (20 February 2017), Distributed Deep Learning, retrieved 2019-01-07
NVIDIA (29 November 2018), Research at NVIDIA: New Core AI and Machine Learning Lab, retrieved 2019-01-07