Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. - Indhumathi Kandaswamy; Saurabh Farkya; Zachary Daniels; Gooitzen van der Wal; Aswin Raghavan; Yuzheng Zhang; Jun Hu; Michael Lomnitz; Michael A. Isnardi; David C. Zhang; Michael R. Piacentino (CVPR Workshops, 2022)

Saccade Mechanisms for Image Classification, Object Detection and Tracking. - Saurabh Farkya; Zachary Daniels; Aswin Nadamuni Raghavan; David C. Zhang; Michael R. Piacentino (CoRR, 2022)

Low-power In-pixel Computing with Current-modulated Switched Capacitors. - David C. Zhang; Gooitzen van der Wal; Saurabh Farkya; Thomas Senko; Aswin Raghavan; Michael A. Isnardi; Michael R. Piacentino (CoRR, 2022)

Learning with Local Gradients at the Edge. - Michael Lomnitz; Zachary Daniels; Saurabh Farkya; Michael A. Isnardi; David C. Zhang; Michael R. Piacentino (SMC, 2023)

Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. - Saurabh Farkya; Aswin Raghavan; Avi Ziskind (CoRR, 2023)

Tools Identification By On-Board Adaptation of Vision-and-Language Models. - Jun Hu; Phil Miller; Michael Lomnitz; Saurabh Farkya; Emre Yilmaz; Aswin Raghavan; David C. Zhang; Michael R. Piacentino (AAAI, 2024)

Data-Driven Pixel Control: Challenges and Prospects. - Saurabh Farkya; Zachary Alan Daniels; Aswin Raghavan; Gooitzen van der Wal; Michael A. Isnardi; Michael R. Piacentino; David C. Zhang (DDDAS/Infosymbiotics, 2024)