Anmol Biswas

Orcid: 0000-0002-2363-5864

According to our database1, Anmol Biswas authored at least 12 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network.
CoRR, 2024

QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights.
Proceedings of the International Joint Conference on Neural Networks, 2024

Resistive Processing Unit-based On-chip ANN Training with Digital Memory.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware.
Neuromorph. Comput. Eng., September, 2023

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing.
CoRR, 2023

E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders.
Proceedings of the International Joint Conference on Neural Networks, 2023

Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

2020
Fast Multi-Stage Motion-Compensated Approach for HDR.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Deep Multi-Stage Learning for HDR With Large Object Motions.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2016
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation.
CoRR, 2016


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