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pro vyhledávání: '"Balachandar, Sidhika"'
Machine learning models are often trained to predict the outcome resulting from a human decision. For example, if a doctor decides to test a patient for disease, will the patient test positive? A challenge is that historical decision-making determine
Externí odkaz:
http://arxiv.org/abs/2312.03878
Autor:
Movva, Rajiv, Balachandar, Sidhika, Peng, Kenny, Agostini, Gabriel, Garg, Nikhil, Pierson, Emma
Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv papers, focusi
Externí odkaz:
http://arxiv.org/abs/2307.10700
Equivariant networks have been adopted in many 3-D learning areas. Here we identify a fundamental limitation of these networks: their ambiguity to symmetries. Equivariant networks cannot complete symmetry-dependent tasks like segmenting a left-right
Externí odkaz:
http://arxiv.org/abs/2210.16646
Autor:
Townshend, Raphael J. L., Vögele, Martin, Suriana, Patricia, Derry, Alexander, Powers, Alexander, Laloudakis, Yianni, Balachandar, Sidhika, Jing, Bowen, Anderson, Brandon, Eismann, Stephan, Kondor, Risi, Altman, Russ B., Dror, Ron O.
Computational methods that operate on three-dimensional molecular structure have the potential to solve important questions in biology and chemistry. In particular, deep neural networks have gained significant attention, but their widespread adoption
Externí odkaz:
http://arxiv.org/abs/2012.04035
Autor:
Gao, Shang, Flicker, Felix, Sankar, Raman, Zhao, He, Ren, Zheng, Rachmilowitz, Bryan, Balachandar, Sidhika, Chou, Fangcheng, Burch, Kenneth, Wang, Ziqiang, van Wezel, Jasper, Zeljkovic, Ilija
A charge density wave (CDW) is one of the fundamental instabilities of the Fermi surface occurring in a wide range of quantum materials. In dimensions higher than one, where Fermi surface nesting can play only a limited role, the selection of the par
Externí odkaz:
http://arxiv.org/abs/1806.09665
Autor:
Movva, Rajiv, Balachandar, Sidhika, Peng, Kenny, Agostini, Gabriel, Garg, Nikhil, Pierson, Emma
There has been a steep recent increase in the number of large language model (LLM) papers, producing a dramatic shift in the scientific landscape which remains largely undocumented through bibliometric analysis. Here, we analyze 388K papers posted on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16761706d69fbff28126591b351841f8
http://arxiv.org/abs/2307.10700
http://arxiv.org/abs/2307.10700
Akademický článek
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Autor:
Shang Gao, Flicker, Felix, Sankar, Raman, He Zhao, Zheng Ren, Rachmilowitz, Bryan, Balachandar, Sidhika, Fangcheng Chou, Burch, Kenneth S., Ziqiang Wang, van Wezel, Jasper, Zeljkovic, Ilija
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 7/3/2018, Vol. 115 Issue 27, p6986-6990, 5p
Autor:
O’Bryan, Christopher S., Bhattacharjee, Tapomoy, Niemi, Sean R., Balachandar, Sidhika, Baldwin, Nicholas, Ellison, S. Tori, Taylor, Curtis R., Sawyer, W. Gregory, Angelini, Thomas E.
Publikováno v:
MRS Bulletin; Aug2017, Vol. 42 Issue 8, p571-577, 7p