Shashank Srikant
Shashank Srikant
Chief AI Officer,
Verified email at - Homepage
Cited by
Cited by
A system to grade computer programming skills using machine learning
S Srikant, V Aggarwal
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Comprehension of computer code relies primarily on domain-general executive brain regions
AA Ivanova, S Srikant, Y Sueoka, HH Kean, R Dhamala, UM O'reilly, ...
elife 9, e58906, 2020
Introducing data science to school kids
S Srikant, V Aggarwal
Proceedings of the 2017 ACM SIGCSE technical symposium on computer science …, 2017
Generating adversarial computer programs using optimized obfuscations
S Srikant, S Liu, T Mitrovska, S Chang, Q Fan, G Zhang, UM O'Reilly
arXiv preprint arXiv:2103.11882, 2021
Question Independent Grading using Machine Learning: The Case of Computer Program Grading
G Singh, S Srikant, V Aggarwal
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
Automatic grading of computer programs: A machine learning approach
S Srikant, V Aggarwal
2013 12th International Conference on Machine Learning and Applications 1, 85-92, 2013
Driving and suppressing the human language network using large language models
G Tuckute, A Sathe, S Srikant, M Taliaferro, M Wang, M Schrimpf, K Kay, ...
Nature Human Behaviour, 1-18, 2024
Principles for using machine learning in the assessment of open response items: Programming assessment as a case study
V Aggarwal, S Srikant, V Shashidhar
NIPS Workshop on Data Driven Education, 2013
On the application of Danskin’s theorem to derivative-free minimax problems
A Al-Dujaili, S Srikant, E Hemberg, UM O’Reilly
AIP Conference Proceedings 2070 (1), 2019
Clawsat: Towards both robust and accurate code models
J Jia, S Srikant, T Mitrovska, C Gan, S Chang, S Liu, UM O’Reilly
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
Learning Models for Personalized Educational Feedback and Job Selection
V Shashidhar, S Srikant, V Aggarwal
Workshop on ML for Education, ICML 2015, 2015
Convergent representations of computer programs in human and artificial neural networks
S Srikant, B Lipkin, A Ivanova, E Fedorenko, UM O'Reilly
Advances in Neural Information Processing Systems 35, 18834-18849, 2022
Dependency-based neural representations for classifying lines of programs
S Srikant, N Lesimple, UM O'Reilly
arXiv preprint arXiv:2004.10166, 2020
Vulcan: Classifying vulnerabilities in solidity smart contracts using dependency-based deep program representations
S Srikant
Massachusetts Institute of Technology, 2020
AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers
V Aggarwal, S Srikant, H Nisar
Proceedings of the 3rd IKDD Conference on Data Science, 2016, 1-2, 2016
Can Cognitive Neuroscience inform Neuro-Symbolic Inference Models?
S Srikant, UM O'Reilly
Is Neuro-Symbolic SOTA still a myth for Natural Language Inference? The …, 2021
Method and system for grading a computer program
V Aggarwal, S Srikant
US Patent App. 14/423,439, 2016
Method and system for automatic assessment of a candidate" s programming ability
V Aggarwal, S Srikant, V Shashidhar
US Patent App. 14/435,174, 2016
Exploring the use of autoencoders for botnets traffic representation
R Dargenio, S Srikant, E Hemberg, UM O'Reilly
2018 IEEE Security and Privacy Workshops (SPW), 57-62, 2018
RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms
M Wang, S Srikant, M Samak, UM O’Reilly
Proceedings of the 12th ACM SIGPLAN International Workshop on the State Of …, 2023
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