Adarsh Kosta

Orcid: 0000-0001-6377-6701

According to our database1, Adarsh Kosta authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where.
IEEE Trans. Cogn. Dev. Syst., October, 2024

Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput., 2024

SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning.
CoRR, 2024

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unearthing the Potential of Spiking Neural Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware.
ACM Comput. Surv., December, 2023

Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation.
CoRR, 2023

FEDORA: Flying Event Dataset fOr Reactive behAvior.
CoRR, 2023

AcouSkin: Full Surface Contact localization Using Acoustic Waves.
IROS, 2023

Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Lightning Talk: A Perspective on Neuromorphic Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays".
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

2016
Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode.
CoRR, 2016


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