Towards a novel direct online speed-torque curve plotter for three phase induction motor. - Ashwin Murali; Arushi Gupta; U. Madhava Rao (ISIE, 2014)

Continuously delivered? Periodically updated? Never changed? Studying an open source project's releases of code, requirements, and trace matrix. - Wentao Wang 003; Arushi Gupta; Yingbo Wu (JITRE, 2015)

Performance prediction and behavioral analysis of student programming ability. - Medha Sagar; Arushi Gupta; Rishabh Kaushal (ICACCI, 2016)

Gray links in the use of requirements traceability. - Nan Niu; Wentao Wang 003; Arushi Gupta (SIGSOFT FSE, 2016)

Traceability for Automated Production Systems: A Position Paper. - Mounifah Alenazi; Nan Niu; Wentao Wang 003; Arushi Gupta (RE Workshops, 2017)

A Regression Model Based Approach for Identifying Security Requirements in Open Source Software Development. - Wentao Wang 003; Nesrin Hussein; Arushi Gupta; Yinglin Wang (RE Workshops, 2017)

A Novel Approach to Solve Set-Theory Word Problems Automatically. - Arushi Gupta; Medha Sagar; Rishabh Kaushal (IC3, 2018)

Answering the requirements traceability questions. - Arushi Gupta; Wentao Wang 003; Nan Niu; Juha Savolainen (ICSE (Companion Volume), 2018)

Mining Security Requirements from Common Vulnerabilities and Exposures for Agile Projects. - Wentao Wang 003; Arushi Gupta; Nan Niu (QuaRAP@RE, 2018)

Non-Gaussian information from weak lensing data via deep learning. - Arushi Gupta; José Manuel Zorrilla Matilla; Daniel Hsu 001; Zoltán Haiman (CoRR, 2018)

Requirements Socio-Technical Graphs for Managing Practitioners' Traceability Questions. - Nan Niu; Wentao Wang 003; Arushi Gupta; Mona Assarandarban; Li Da Xu; Juha Savolainen; Jing-Ru C. Cheng (IEEE Trans. Comput. Soc. Syst., 2018)

Automatically Tracing Dependability Requirements via Term-Based Relevance Feedback. - Wentao Wang 003; Arushi Gupta; Nan Niu; Li Da Xu; Jing-Ru C. Cheng; Zhendong Niu (IEEE Trans. Ind. Informatics, 2018)

A Simple Saliency Method That Passes the Sanity Checks. - Arushi Gupta; Sanjeev Arora (CoRR, 2019)

A linear classifier based approach for identifying security requirements in open source software development. - Wentao Wang 003; Kavya Reddy Mahakala; Arushi Gupta; Nesrin Hussein; Yinglin Wang (J. Ind. Inf. Integr., 2019)

Corrections to "Requirements Socio-Technical Graphs for Managing Practitioners' Traceability Questions". - Nan Niu; Wentao Wang 003; Arushi Gupta; Mona Assarandarban; Li Da Xu; Juha Savolainen; Jing-Ru C. Cheng (IEEE Trans. Comput. Soc. Syst., 2019)

Ranking of Countries Using World Development Indicators: A Computational Approach. - Arushi Gupta; Kapil Sharma (ICCCNT, 2020)

Inherent Noise in Gradient Based Methods. - Arushi Gupta (CoRR, 2020)

Parameter identification in Markov chain choice models. - Arushi Gupta; Daniel Hsu 001 (Theor. Comput. Sci., 2020)

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning. - Nikunj Saunshi; Arushi Gupta; Wei Hu (ICML, 2021)

On Predicting Generalization using GANs. - Yi Zhang 074; Arushi Gupta; Nikunj Saunshi; Sanjeev Arora (ICLR, 2022)

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. - Arushi Gupta; Nikunj Saunshi; Dingli Yu; Kaifeng Lyu; Sanjeev Arora (NeurIPS, 2022)

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government. - Jennifer King; Daniel E. Ho; Arushi Gupta; Victor Wu; Helen Webley-Brown (FAccT, 2023)

Understanding Influence Functions and Datamodels via Harmonic Analysis. - Nikunj Saunshi; Arushi Gupta; Mark Braverman; Sanjeev Arora (ICLR, 2023)

Online Nonstochastic Model-Free Reinforcement Learning. - Udaya Ghai; Arushi Gupta; Wenhan Xia; Karan Singh; Elad Hazan (NeurIPS, 2023)

SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. - Dingli Yu; Simran Kaur 001; Arushi Gupta; Jonah Brown-Cohen; Anirudh Goyal; Sanjeev Arora (ICLR, 2024)

Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. - Arushi Gupta; Rafal Kocielnik; Jiayun Wang; Firdavs Nasriddinov; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)

Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. - Firdavs Nasriddinov; Rafal Kocielnik; Arushi Gupta; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)