Anjali Parashar

14 papers C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Curiosity is Knowledge: Self-Consistent Learning and No-Regret Optimization with Active Inference.
CoRR
Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan
2026 J jnl
Pragmatic Curiosity: A Hybrid Learning-Optimization Paradigm via Active Inference.
CoRR
Yingke Li, Anjali Parashar, Enlu Zhou, Chuchu Fan
2026 J jnl
SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing.
CoRR
Anjali Parashar, Yingke Li, Eric Yang Yu, Fei Chen, James Neidhoefer, Devesh Upadhyay, Chuchu Fan
2025 J jnl
On the stability of gradient descent with second order dynamics for time-varying cost functions.
Trans. Mach. Learn. Res.
Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anuradha Annaswamy
2025 J jnl
RADIUM: Predicting and Repairing End-to-End Robot Failures Using Gradient-Accelerated Sampling.
IEEE Trans. Robotics
Charles Dawson, Anjali Parashar, Chuchu Fan
2024 J jnl
Failure Prediction from Limited Hardware Demonstrations.
CoRR
Anjali Parashar, Kunal Garg, Joseph Zhang, Chuchu Fan
2024 J jnl
Fast and Modular Autonomy Software for Autonomous Racing Vehicles.
CoRR
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
2024 J jnl
Fast and Modular Autonomy Software for Autonomous Racing Vehicles.
Field Robotics
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
2024 J jnl
Learning-Based Bayesian Inference for Testing of Autonomous Systems.
IEEE Robotics Autom. Lett.
Anjali Parashar, Ji Yin, Charles Dawson, Panagiotis Tsiotras, Chuchu Fan
2024 J jnl
On the stability of second order gradient descent for time varying convex functions.
CoRR
Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anuradha M. Annaswamy
2024 J jnl
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling.
CoRR
Charles Dawson, Anjali Parashar, Chuchu Fan
2023 C conf
Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints.
ACC
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy
2022 — conf
Accelerated Algorithms for a Class of Optimization Problems with Constraints.
CDC
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy, Biswadip Dey, Amit Chakraborty
2022 J jnl
Accelerated Algorithms for a Class of Optimization Problems with Constraints.
CoRR
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy