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ORCIDDebanjan Bhowmik
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Journal Articles
- 2023
[j5]Ram Singh Yadav, Aniket Sadashiva, Amod Holla, Pranaba Kishor Muduli, Debanjan Bhowmik
:
Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning. Neuromorph. Comput. Eng. 3(3): 34006 (2023)- 2022
- [j4]Varun Bhavin Desai, Divya Kaushik, Janak Sharda, Debanjan Bhowmik:
On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network. Neuromorph. Comput. Eng. 2(2): 24006 (2022) - [j3]Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik:
Fast-QTrain: an algorithm for fast training of variational classifiers. Quantum Inf. Process. 21(5): 189 (2022) - 2021
- [j2]Neha Garg, Sri Vasudha Hemadri Bhotla, Pranaba K. Muduli, Debanjan Bhowmik:
Kuramoto-model-based data classification using the synchronization dynamics of uniform-mode spin Hall nano-oscillators. Neuromorph. Comput. Eng. 1(2): 24005 (2021) - 2020
- [j1]Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik:
Supervised learning with a quantum classifier using multi-level systems. Quantum Inf. Process. 19(3): 89 (2020)
Conference and Workshop Papers
- 2024
- [c6]Nitupon Dihingia, Aniket Sadashiva, Debanjan Bhowmik, Sandip Mondal:
Spin-coated ALPO-RRAM with Switching Speed < 50 ns and Nonlinearity 0.5. DRC 2024: 1-2 - 2021
- [c5]Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik:
A Quantum Activation Function for Neural Networks: Proposal and Implementation. IJCNN 2021: 1-8 - [c4]Janak Sharda, Ritvik Sharma, Debanjan Bhowmik:
A Crossbar Array of Analog-Digital-Hybrid Volatile Memory Synapse Cells for Energy-Efficient On-Chip Learning. ISCAS 2021: 1-5 - 2020
- [c3]Janak Sharda, Nilabjo Dey, Ankesh Jain, Debanjan Bhowmik:
Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning. ICONS 2020: 13:1-13:8 - [c2]Shikhar Tuli, Debanjan Bhowmik:
Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network. ICONS 2020: 14:1-14:8 - 2019
- [c1]Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network. BioCAS 2019: 1-4
Informal and Other Publications
- 2020
- [i4]Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik:
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation. CoRR abs/2007.10242 (2020) - 2019
- [i3]Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network. CoRR abs/1907.00625 (2019) - [i2]Divya Kaushik, Utkarsh Singh, Upasana Sahu, Indu Sreedevi, Debanjan Bhowmik:
Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network. CoRR abs/1910.12919 (2019) - 2018
- [i1]Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik:
On-chip learning for domain wall synapse based Fully Connected Neural Network. CoRR abs/1811.09966 (2018)
Coauthor Index
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