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2020 – today
- 2024
[c8]Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi:
Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. AAAI Spring Symposia 2024: 317- [c7]Vedant Karia
, Abdullah M. Zyarah, Dhireesha Kudithipudi:
PositCL: Compact Continual Learning with Posit Aware Quantization. ACM Great Lakes Symposium on VLSI 2024: 645-650 - [i3]Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi:
Probabilistic Metaplasticity for Continual Learning with Memristors. CoRR abs/2403.08718 (2024) - 2023
- [i2]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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - 2022
- [c6]Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi:
ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML. CoNGA 2022: 50-65 - [c5]Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi:
SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. ISCAS 2022: 1372-1376 - 2021
- [c4]Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi:
ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. CVPR Workshops 2021: 3100-3109 - [c3]Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi:
MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning. ISCAS 2021: 1-5 - [i1]Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi:
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT. CoRR abs/2104.02233 (2021) - 2020
- [c2]Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi:
Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. CVPR Workshops 2020: 3123-3131
2010 – 2019
- 2018
- [c1]Anurag Reddy Daram, Karan Paluru, Vedant Karia, Dhireesha Kudithipudi:
Scalable IP Core for Feed Forward Random Networks. ELM 2018: 253-262
Coauthor Index
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