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ORCIDMaeesha Binte Hashem
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Journal Articles
- 2024
[j1]Nastaran Darabi
, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 991-1003 (2024)
Conference and Workshop Papers
- 2024
- [c5]Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi:
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. VLSID 2024: 180-185 - 2023
- [c4]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS 2023: 1-5 - [c3]Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi:
Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED 2023: 1 - 2022
- [c2]Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi:
Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 2022: 1-2 - 2019
- [c1]Abir Akib, Faiza Tasnim, Disha Biswas, Maeesha Binte Hashem, Kristi Rahman, Arnab Bhattacharjee, Shaikh Anowarul Fattah:
Unmanned Floating Waste Collecting Robot. TENCON 2019: 2645-2650
Informal and Other Publications
- 2024
- [i4]Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi:
TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR abs/2409.00495 (2024) - 2023
- [i3]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR abs/2307.03863 (2023) - [i2]Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Swarup Bhunia, Amit Ranjan Trivedi:
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. CoRR abs/2307.07631 (2023) - [i1]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR abs/2309.01771 (2023)
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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