Tej Pandit

According to our database, Tej Pandit authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

Nat. Mach. Intell., 2022

Low-Shot Learning and Pattern Separation using Cellular Automata Integrated CNNs.

Tej Pandit, Dhireesha Kudithipudi

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

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

Proceedings of the Next Generation Arithmetic - Third International Conference, 2022

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Relational Neurogenesis for Lifelong Learning Agents.

Tej Pandit, Dhireesha Kudithipudi

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2018

Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit.

Seyed Hamed Fatemi Langroudi, Tej Pandit, Dhireesha Kudithipudi

Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018