Vedant Karia - RankMe

12 papers C 2Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning. CoRR Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi
2024	—	`conf`	Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. AAAI Spring Symposia Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi
2024	—	`conf`	PositCL: Compact Continual Learning with Posit Aware Quantization. ACM Great Lakes Symposium on VLSI Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi
2024	J	`jnl`	Probabilistic Metaplasticity for Continual Learning with Memristors. CoRR Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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
2022	—	`conf`	ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML. CoNGA Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi
2022	C	`conf`	SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. ISCAS Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi
2021	—	`conf`	ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. CVPR Workshops Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi
2021	C	`conf`	MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning. ISCAS Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi
2021	J	`jnl`	TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT. CoRR Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi
2020	—	`conf`	Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. CVPR Workshops Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi
2018	—	`conf`	Scalable IP Core for Feed Forward Random Networks. ELM Anurag Reddy Daram, Karan Paluru, Vedant Karia, Dhireesha Kudithipudi