Scalable IP Core for Feed Forward Random Networks. - Anurag Reddy Daram; Karan Paluru; Vedant Karia; Dhireesha Kudithipudi (ELM, 2018)

Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. - Hamed Fatemi Langroudi; Vedant Karia; John L. Gustafson; Dhireesha Kudithipudi (CVPR Workshops, 2020)

ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. - Hamed Fatemi Langroudi; Vedant Karia; Zachariah Carmichael; Abdullah M. Zyarah; Tej Pandit; John L. Gustafson; Dhireesha Kudithipudi (CVPR Workshops, 2021)

MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning. - Fatima Tuz Zohora; Vedant Karia; Anurag Reddy Daram; Abdullah M. Zyarah; Dhireesha Kudithipudi (ISCAS, 2021)

TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT. - Hamed Fatemi Langroudi; Vedant Karia; Tej Pandit; Dhireesha Kudithipudi (CoRR, 2021)

ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML. - Hamed Fatemi Langroudi; Vedant Karia; Tej Pandit; Becky Mashaido; Dhireesha Kudithipudi (CoNGA, 2022)

SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. - Vedant Karia; Fatima Tuz Zohora; Nicholas Soures; Dhireesha Kudithipudi (ISCAS, 2022)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. - Nicholas Soures; Vedant Karia; Dhireesha Kudithipudi (AAAI Spring Symposia, 2024)

PositCL: Compact Continual Learning with Posit Aware Quantization. - Vedant Karia; Abdullah M. Zyarah; Dhireesha Kudithipudi (ACM Great Lakes Symposium on VLSI, 2024)

Probabilistic Metaplasticity for Continual Learning with Memristors. - Fatima Tuz Zohora; Vedant Karia; Nicholas Soures; Dhireesha Kudithipudi (CoRR, 2024)