Manan Suri

Orcid: 0000-0003-1417-3570

According to our database1, Manan Suri authored at least 67 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
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., June, 2023

Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications.
IEEE Micro, 2023

Online time-series forecasting using spiking reservoir.
Neurocomputing, 2023

A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data.
CoRR, 2023

NVSystolic: Heterogeneous Simulation Framework for Emerging Memories with Systolic Array.
Proceedings of the 19th International Conference on Synthesis, 2023

WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Neuromorphic Recurrent Spiking Neural Networks for EMG Gesture Classification and Low Power Implementation on Loihi.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array.
Proceedings of the IEEE International Memory Workshop, 2023

Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

The Geometry of Multilingual Language Models: An Equality Lens.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detection of Sexism on Social Media with Multiple Simple Transformers.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A novel multimodal dynamic fusion network for disfluency detection in spoken utterances.
CoRR, 2022

Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting.
CoRR, 2022

Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications.
CoRR, 2022

Low Power Neuromorphic EMG Gesture Classification.
CoRR, 2022

Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks.
CoRR, 2022

PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Single Cycle XOR (SCXOR) and Stateful n-bit Parallel Adder Implementation Using 2D RRAM Crossbar.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

I don't feel so good! Detecting Depressive Tendencies using Transformer-based Multimodal Frameworks.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Asatya at CheckThat!-2022: Multimodal BERT for Identifying Claims in Tweets.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

NSUT-NLP at CASE 2022 Task 1: Multilingual Protest Event Detection using Transformer-based Models.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

2021
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models.
IEEE Trans. Neural Networks Learn. Syst., 2021

Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT).
CoRR, 2021

2D Histogram based Region Proposal (H2RP) Algorithm for Neuromorphic Vision Sensors.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
NV-Fogstore : Device-aware hybrid caching in fog computing environments.
CoRR, 2020

Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones.
CoRR, 2020

Investigation of Data Deletion Vulnerabilities in NAND Flash Memory Based Storage.
CoRR, 2020

Message from the Technical Program Co-Chairs.
Proceedings of the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems, 2020

Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking using off-the-Shelf NVM Chips.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Low-Power (1T1N) Skyrmionic Synapses for Spiking Neuromorphic Systems.
IEEE Access, 2019

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.
IEEE Access, 2019

Design of an Optimized CMOS ELM Accelerator.
Proceedings of the 32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems, 2019

Investigation of Unified Emerging-NVM SoC Architecture for IoT-WSN Applications.
Proceedings of the 32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems, 2019

Optimized Implementation of Neuromorphic HATS Algorithm on FPGA.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2019

NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Current Optimized Coset Coding for Efficient RRAM Programming.
IEEE Trans. Very Large Scale Integr. Syst., 2018

SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices.
CoRR, 2018

MASTISK.
CoRR, 2018

Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures.
CoRR, 2018

Switching-Time Dependent PUF Using STT-MRAM.
Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

OxRAM Resistive Switching for DR Improvement.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Efficient Low-Power Material Analysis using Neuromorphic Hardware: A spectral case study.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Design Exploration of IoT centric Neural Inference Accelerators.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Stochastic CBRAM-Based Neuromorphic Time Series Prediction System.
ACM J. Emerg. Technol. Comput. Syst., 2017

Dispenser Concept for Unmanned Aerial Vehicles (UAV, Drone, UAS).
CoRR, 2017

Exploiting OxRAM Resistive Switching for Dynamic Range Improvement of CMOS Image Sensors.
CoRR, 2017

Advanced performance improvement algorithms for emerging resistive memory: CBRAM case study.
Proceedings of the IEEE 6th Non-Volatile Memory Systems and Applications Symposium, 2017

Stability analysis of hybrid CMOS-RRAM based 4T-2R NVSRAM.
Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017

Low power neuromorphic hardware based multi-modal authentication system.
Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Rapid cervical cancer detection using neuromorphic hardware.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2015
Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems.
Proceedings of the 28th International Conference on VLSI Design, 2015

Neuromorphic Hardware Accelerated Adaptive Authentication System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Neuromorphic hybrid RRAM-CMOS RBM architecture.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

NoC router using STT-MRAM based hybrid buffers with error correction and limited flit retransmission.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

OXRAM based ELM architecture for multi-class classification applications.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

Stochastic neuron design using conductive bridge RAM.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

2011
Phase change memory for synaptic plasticity application in neuromorphic systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


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