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Ankita Nandi
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2020 – today
- 2024
- [j4]Pratik Kumar
, Ankita Nandi
ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2252-2265 (2024) - [c4]Ankita Nandi, Pratik Kumar, Shantanu Chakrabartty, Chetan Singh Thakur:
Margin Propagation based Analog Soft-Gates for Probabilistic Computing. VLSID 2024: 378-383 - [i4]Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Margin Propagation based XOR-SAT Solvers for Decoding of LDPC Codes. CoRR abs/2402.04959 (2024) - [i3]Ankita Nandi, Krishil Gandhi, Mahendra Pratap Singh, Shantanu Chakrabartty, Chetan Singh Thakur:
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs. CoRR abs/2410.22946 (2024) - 2023
- [j3]Pratik Kumar
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 312-322 (2023) - [j2]Pratik Kumar
Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 128-141 (2023) - [j1]Chandan Kumar Jha
Single Exact Single Approximate Adders and Single Exact Dual Approximate Adders. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 907-916 (2023) - 2022
- [i2]Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
CMOS Circuits for Shape-Based Analog Machine Learning. CoRR abs/2202.05022 (2022) - [i1]Pratik Kumar
Theory and Implementation of Process and Temperature Scalable Shape-based CMOS Analog Circuits. CoRR abs/2205.05664 (2022) - 2020
- [c3]Ankita Nandi, Chandan Kumar Jha, Joycee Mekie:
Tunable Inexact Subtracters for Division in Image Processing Applications. MWSCAS 2020: 1100-1103
2010 – 2019
- 2019
- [c2]Ankita Nandi, Chandan Kumar Jha, Joycee Mekie:
Should We Code Differently When Using Approximate Circuits? APCCAS 2019: 37-40 - [c1]Chandan Kumar Jha, Ankita Nandi, Joycee Mekie:
Quality Tunable Approximate Adder for Low Energy Image Processing Applications. ICECS 2019: 642-645
Coauthor Index
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