Vivek Parmar

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 25

Top Topics

Generative Process

Distance Computation

Hyperspectral Image Classification

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe
Demonstration of Differential Mode Ferroelectric Field-Effect Transistor Array-Based in-Memory Computing Macro for Realizing Multiprecision Mixed-Signal Artificial Intelligence Accelerator. Adv. Intell. Syst. 5 (6) (2023)
Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri
Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. CVPR Workshops (2023)
Vivek Parmar, Manan Suri
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage. AIMLSystems (2023)
Vivek Parmar, Sandeep Kaur Kingra, Deepak Verma, Digamber Pandey, Giuseppe Piccolboni, Alessandro Bricalli, Amir Regev, Gabriel Pares, Laurent Grenouillet, Jean-François Nodin, Manan Suri
Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array. IMW (2023)
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. IEEE Micro 43 (6) (2023)
Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri
Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search. IEEE Trans. Circuits Syst. II Express Briefs 70 (1) (2023)
Khushal Sethi, Vivek Parmar, Manan Suri
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. CoRR (2022)
Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks. CoRR (2022)
Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri
Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search. CoRR (2022)
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. CoRR (2022)
Vivek Parmar, Manan Suri
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Vivek Parmar, Manan Suri, Kazutaka Yamane, Tae Young Lee, Nyuk Leong Chung, Vinayak Bharat Naik
MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions. AICAS (2021)
Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones. CoRR (2020)
Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar. CoRR (2020)
Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar. ISCAS (2020)
Chih-Cheng Chang, Ming-Hung Wu, Jia-Wei Lin, Chun-Hsien Li, Vivek Parmar, Heng-Yuan Lee, Jeng-Hua Wei, Shyh-Shyuan Sheu, Manan Suri, Tian-Sheuan Chang, Tuo-Hung Hou
NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge. DAC (2019)
Vivek Parmar, Jung-Ho Ahn, Manan Suri
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. IJCNN (2019)
Manoj Kumar Sharma, Umesh Chandra Lohani, Vivek Parmar, Manan Suri
Design of an Optimized CMOS ELM Accelerator. VLSI Design (2019)
Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7 (2019)
Tinish Bhattacharya, Vivek Parmar, Manan Suri
MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware. IJCNN (2018)
Khushal Sethi, Vivek Parmar, Manan Suri
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. BioCAS (2018)
Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices. CoRR (2018)
Vivek Parmar, Manan Suri
Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures. CoRR (2018)
Tinish Bhattacharya, Vivek Parmar, Manan Suri
MASTISK. CoRR (2018)
Vivek Parmar, Manan Suri
Design Exploration of IoT centric Neural Inference Accelerators. ACM Great Lakes Symposium on VLSI (2018)
Manan Suri, Vivek Parmar, Akshay Singla, Rishabh Malviya, Surag Nair
Neuromorphic Hardware Accelerated Adaptive Authentication System. SSCI (2015)
Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart
Neuromorphic hybrid RRAM-CMOS RBM architecture. NVMTS (2015)
Manan Suri, Vivek Parmar, Gilbert Sassine, Fabien Alibart
OXRAM based ELM architecture for multi-class classification applications. IJCNN (2015)