Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning. - Rohitkumar Arasanipalai; Aakriti Agrawal; Debasish Ghose (CoRR, 2020)

Control of a Nature-inspired Scorpion using Reinforcement Learning. - Aakriti Agrawal; V. S. Rajashekhar; Rohitkumar Arasanipalai; Debasish Ghose (CoRR, 2020)

Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method. - Aakriti Agrawal; Aashay Anil Bhise; Rohitkumar Arasanipalai; Lima Agnel Tony; Shuvrangshu Jana; Debasish Ghose (CoRR, 2020)

DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. - Aakriti Agrawal; Senthil Hariharan Arul; Amrit Singh Bedi; Dinesh Manocha (IROS, 2022)

RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments. - Aakriti Agrawal; Amrit Singh Bedi; Dinesh Manocha (ICRA, 2023)

Learning When to Trust Which Teacher for Weakly Supervised ASR. - Aakriti Agrawal; Milind Rao; Anit Kumar Sahu; Gopinath Chennupati; Andreas Stolcke (INTERSPEECH, 2023)

Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. - Aakriti Agrawal; Rohith Aralikatti; Yanchao Sun; Furong Huang (CoRR, 2023)

Accurate Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method for High-speed Target Interception. - Aakriti Agrawal; Aashay Anil Bhise; Rohitkumar Arasanipalai; Lima Agnel Tony; Shuvrangshu Jana; Debasish Ghose (Artificial Intelligence for Robotics and Autonomous Systems Applications, 2023)

WAVES: Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (ICML, 2024)

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. - Mucong Ding; Chenghao Deng; Jocelyn Choo; Zichu Wu; Aakriti Agrawal; Avi Schwarzschild; Tianyi Zhou 001; Tom Goldstein; John Langford 001; Animashree Anandkumar; Furong Huang (NeurIPS, 2024)

Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (CoRR, 2024)

EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? - Aakriti Agrawal; Mucong Ding; Zora Che; Chenghao Deng; Anirudh Satheesh; John Langford 001; Furong Huang (CoRR, 2024)

PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. - Michael-Andrei Panaitescu-Liess; Pankayaraj Pathmanathan; Yigitcan Kaya; Zora Che; Bang An 001; Sicheng Zhu; Aakriti Agrawal; Furong Huang (NAACL (Long Papers), 2025)