Vedant Karia

According to our database, Vedant Karia authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Probabilistic Metaplasticity for Continual Learning with Memristors.

Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi

CoRR, 2024

PositCL: Compact Continual Learning with Posit Aware Quantization.

Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design.

Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

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, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

2022

SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning.

Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning.

Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 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

Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge.

Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Scalable IP Core for Feed Forward Random Networks.

Anurag Reddy Daram, Karan Paluru, Vedant Karia, Dhireesha Kudithipudi

Proceedings of ELM 2018, 2018