Anjali Parashar

According to our database, Anjali Parashar authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing.

Anjali Parashar, Yingke Li, Eric Yang Yu, Fei Chen, James Neidhoefer, Devesh Upadhyay, Chuchu Fan

CoRR, March, 2026

Pragmatic Curiosity: A Hybrid Learning-Optimization Paradigm via Active Inference.

Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan

CoRR, February, 2026

Curiosity is Knowledge: Self-Consistent Learning and No-Regret Optimization with Active Inference.

Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan

CoRR, February, 2026

2025

RADIUM: Predicting and Repairing End-to-End Robot Failures Using Gradient-Accelerated Sampling.

Charles Dawson, Anjali Parashar, Chuchu Fan

IEEE Trans. Robotics, 2025

On the stability of gradient descent with second order dynamics for time-varying cost functions.

Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anuradha Annaswamy

Trans. Mach. Learn. Res., 2025

2024

Learning-Based Bayesian Inference for Testing of Autonomous Systems.

Anjali Parashar, Ji Yin, Charles Dawson, Panagiotis Tsiotras, Chuchu Fan

IEEE Robotics Autom. Lett., October, 2024

Fast and Modular Autonomy Software for Autonomous Racing Vehicles.

Andrew Saba, Aderotimi Adetunji, Adam Johnson, Aadi Kothari, Matthew Sivaprakasam, Joshua Spisak, Prem Bharatia, Arjun Chauhan, Brendan Duff Jr., Noah Gasparro, Charles King, Ryan Larkin, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian A. Scherer, Deva Ramanan

Field Robotics, 2024

Failure Prediction from Limited Hardware Demonstrations.

Anjali Parashar, Kunal Garg, Joseph Zhang, Chuchu Fan

CoRR, 2024

On the stability of second order gradient descent for time varying convex functions.

Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anuradha M. Annaswamy

CoRR, 2024

2023

Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints.

Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy

Proceedings of the American Control Conference, 2023

2022

Accelerated Algorithms for a Class of Optimization Problems with Constraints.

Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy

CoRR, 2022

Accelerated Algorithms for a Class of Optimization Problems with Constraints.

Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy, Biswadip Dey, Amit Chakraborty

Proceedings of the 61st IEEE Conference on Decision and Control, 2022