Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit. - Seyed Hamed Fatemi Langroudi; Tej Pandit; Dhireesha Kudithipudi (EMC2@ASPLOS, 2018)

Relational Neurogenesis for Lifelong Learning Agents. - Tej Pandit; Dhireesha Kudithipudi (NICE, 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)

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)

Low-Shot Learning and Pattern Separation using Cellular Automata Integrated CNNs. - Tej Pandit; Dhireesha Kudithipudi (ICONS, 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks. - Nicholas Soures; Peter Helfer; Anurag Reddy Daram; Tej Pandit; Dhireesha Kudithipudi (CoRR, 2024)