Video Segment Copy Detection Using Memory Constrained Hierarchical Batch-Normalized LSTM Autoencoder. - Arjun Krishna; A. S. Akil Arif Ibrahim (CoRR, 2019)

Noise Entangled GAN For Low-Dose CT Simulation. - Chuang Niu; Ge Wang 001; Pingkun Yan; Juergen Hahn; Youfang Lai; Xun Jia; Arjun Krishna; Klaus Mueller 001; Andreu Badal; Kyle J. Myers; Rongping Zeng (CoRR, 2021)

Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning. - Arjun Krishna; Kedar Bartake; Chuang Niu; Ge Wang 001; Youfang Lai; Xun Jia; Klaus Mueller 001 (CoRR, 2021)

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. - Arjun Krishna; Zulfiqar Zaidi; Letian Chen; Rohan R. Paleja; Esmaeil Seraj; Matthew C. Gombolay (CoRR, 2022)

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. - Kin Man Lee; Arjun Krishna; Zulfiqar Zaidi; Rohan R. Paleja; Letian Chen; Erin Hedlund-Botti; Mariah Schrum; Matthew C. Gombolay (HRI, 2023)

Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation. - Soham Bhosale; Arjun Krishna; Ge Wang 001; Klaus Mueller 001 (CoRR, 2023)

Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. - Zulfiqar Zaidi; Daniel Martin; Nathaniel Belles; Viacheslav Zakharov; Arjun Krishna; Kin Man Lee; Peter Wagstaff; Sumedh Naik; Matthew Sklar; Sugju Choi; Yoshiki Kakehi; Ruturaj Patil; et al. (IEEE Robotics Autom. Lett., 2023)

Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding. - Yue Yang; Letian Chen; Zulfiqar Zaidi; Sanne van Waveren; Arjun Krishna; Matthew C. Gombolay (HRI, 2024)

Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis. - Arjun Krishna; Ge Wang 001; Klaus Mueller 001 (CoRR, 2024)

The Value of Sensory Information to a Robot. - Arjun Krishna; Edward S. Hu; Dinesh Jayaraman (ICLR, 2025)

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. - Long Le; Jason Xie; William Liang; Hung-Ju Wang; Yue Yang; Yecheng Jason Ma; Kyle Vedder; Arjun Krishna; Dinesh Jayaraman; Eric Eaton (ICLR, 2025)

Illustrated Landmark Graphs for Long-horizon Policy Learning. - Christopher Watson; Arjun Krishna; Rajeev Alur; Dinesh Jayaraman (Trans. Mach. Learn. Res., 2025)

Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities. - Arjun Krishna; Erick Galinkin; Leon Derczynski; Jeffrey Martin (CoRR, 2025)

Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models. - Arjun Krishna; Aaditya Rastogi; Erick Galinkin (CoRR, 2025)