| Adaptive posit: Parameter aware numerical format for deep learning inference on the edge HF Langroudi, V Karia, JL Gustafson, D Kudithipudi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv 2023, 2304.04640 v2, 2023 | 23 | 2023 |
| NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ... arXiv preprint arXiv:2304.04640, 2023 | 19 | 2023 |
| Alps: Adaptive quantization of deep neural networks with generalized posits HF Langroudi, V Karia, Z Carmichael, A Zyarah, T Pandit, JL Gustafson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18 | 2021 |
| Tent: Efficient quantization of neural networks on the tiny edge with tapered fixed point HF Langroudi, V Karia, T Pandit, D Kudithipudi arXiv preprint arXiv:2104.02233, 2021 | 17 | 2021 |
| Scolar: A spiking digital accelerator with dual fixed point for continual learning V Karia, FT Zohora, N Soures, D Kudithipudi 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1372-1376, 2022 | 9 | 2022 |
| Metaplasticnet: Architecture with probabilistic metaplastic synapses for continual learning FT Zohora, V Karia, AR Daram, AM Zyarah, D Kudithipudi 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 9 | 2021 |
| ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML HF Langroudi, V Karia, T Pandit, B Mashaido, D Kudithipudi Conference on Next Generation Arithmetic, 50-65, 2022 | 3 | 2022 |
| Probabilistic Metaplasticity for Continual Learning with Memristors FT Zohora, V Karia, N Soures, D Kudithipudi arXiv preprint arXiv:2403.08718, 2024 | 2 | 2024 |
| Probabilistic metaplasticity for continual learning with memristors in spiking networks FT Zohora, V Karia, N Soures, D Kudithipudi Scientific Reports 14 (1), 29496, 2024 | | 2024 |
| PositCL: Compact Continual Learning with Posit Aware Quantization V Karia, A Zyarah, D Kudithipudi Proceedings of the Great Lakes Symposium on VLSI 2024, 645-650, 2024 | | 2024 |
| Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design N Soures, V Karia, D Kudithipudi Proceedings of the AAAI Symposium Series 3 (1), 317-317, 2024 | | 2024 |
| Probabilistic Metaplasticity for Continual Learning with Memristors F Tuz Zohora, V Karia, N Soures, D Kudithipudi arXiv e-prints, arXiv: 2403.08718, 2024 | | 2024 |
| A Adachi, Masaharu, 163 Akusok, Anton, 17 W Guo, D Han, S Han, Q He, X He, GB Huang, Y Itoh, H Ji, B Jia, D Jia, ... Proceedings of ELM 2018 11, 345, 2019 | | 2019 |
| Scalable IP Core for Feed Forward Random Networks A Daram, K Paluru, V Karia, D Kudithipudi International Conference on Extreme Learning Machine, 253-262, 2018 | | 2018 |
| CompJouleS: Energy estimate tool for Machine Learning Algorithms for multiple applications in CPU, GPU, and FPGA architectures M Isik, JE Pedersen, V Karia, S Shankar | | |
| TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT H Fatemi, V Karia, T Pandit, D Kudithipudi Research Symposium on Tiny Machine Learning, 0 | | |
Seyed Hamed Fatemi LangroudiML Scientist, OwlAIVerified email at rit.edu
