Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sachin Grover"'
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 8, Pp 1-36 (2024)
Abstract The Schur index of the Higgs branch of 4-dimensional N $$ \mathcal{N} $$ = 2 SCFTs is related to the spectrum of non-unitary 2-dimensional CFTs. The rank 1 case has been shown to lead to the non-unitary CFTs with Deligne-Cvitanovic (DC) exce
Externí odkaz:
https://doaj.org/article/dec190fe0f35403a99672cb67e3c4ec0
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 5, Pp 1-39 (2024)
Abstract We discuss the construction of duality defects in c = 24 meromorphic CFTs that correspond to Niemeier lattices. We will illustrate our constructions for the D n -type lattices. We will identify non-anomalous ℤ2 symmetries of these theories
Externí odkaz:
https://doaj.org/article/f50a3db54c334e09baac365063045b80
Autor:
Sachin Grover
Publikováno v:
SciPost Physics Core, Vol 6, Iss 4, p 068 (2023)
We study the even characters of $\widehat{su(2)}$ conformal field theories (CFTs) at admissible fractional levels obtained from the difference of the highest weight characters in the unflavoured limit. We show that admissible even character vectors a
Externí odkaz:
https://doaj.org/article/9f6e3abd3f00486496ef73e04ec709e0
Publikováno v:
Proceedings of the 21st Workshop on Biomedical Language Processing.
Publikováno v:
IEEE Transactions on Learning Technologies. 10:154-167
Constructing models of dynamic systems is an important skill in both mathematics and science instruction. However, it has proved difficult to teach. Dragoon is an intelligent tutoring system intended to quickly and effectively teach this important sk
Autor:
Brad A. Myers, Mary Beth Kery, Mariann Nagy, Sachin Grover, Finn Voichick, Emily Zhou, Amber Horvath, Daye Nam, Sihan Dong, Shwetha Shinju
Publikováno v:
VL/HCC
Almost all software development revolves around the discovery and use of application programming interfaces (APIs). Once a suitable API is selected, programmers must begin the process of determining what functionality in the API is relevant to a prog
The problem of understanding the reasons behind why different machine learning classifiers make specific predictions is a difficult one, mainly because the inner workings of the algorithms underlying such tools are not amenable to the direct extracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147aaa4c989c37fcd2a13b748db8baf8
https://ieeexplore.ieee.org/document/8668423
https://ieeexplore.ieee.org/document/8668423
Autor:
Sachin Grover, Kurt VanLehn, Reid Joiner, Megha Tiwari, Brett van de Sande, Vallabh Patade, Avaneesh Desai, Jingxian Feng, Pradeep Chaudhari, Mackenzie Kong-Sivert, Ritesh Samala, Dillan Butler, Jon Wetzel
Publikováno v:
Interactive Learning Environments. 25:361-381
This paper describes Dragoon, a simple intelligent tutoring system which teaches the construction of models of dynamic systems. Modelling is one of seven practices dictated in two new sets of educational standards in the U.S.A., and Dragoon is one of
Publikováno v:
HRI
Recent work in explanation generation for decision making agents has looked at how unexplained behavior of autonomous systems can be understood in terms of differences in the model of the system and the human's understanding of the same, and how the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43b03b0ad725f835117e061fbb7ac1c
http://arxiv.org/abs/1802.01013
http://arxiv.org/abs/1802.01013
How Should Knowledge Composed of Schemas be Represented in Order to Optimize Student Model Accuracy?
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319938424
AIED (1)
AIED (1)
Most approaches to student modeling assume that students’ knowledge can be represented by a large set of knowledge components that are learned independently. Knowledge components typically represent fairly small pieces of knowledge. This seems to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e11a85186704cb08c542c615dda66e
https://doi.org/10.1007/978-3-319-93843-1_10
https://doi.org/10.1007/978-3-319-93843-1_10