Abhishek Moitra - Concepedia

Author

Abhishek Moitra

Yale University ORCID

Also Known As

Abhishek Moitra, Moitra, Abhishek

Publications

364

Citations

H-Index

Concepts

All Affiliations

Yale University

About

Abhishek Moitra is an author at Yale University specializing in social sciences, computer science, and neuromorphic engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	147
2	Social Sciences	3	3	147
3	Computer Engineering	3	3	147
4	Computer Science	3	3	147
5	Data Science	2	2	129

Abhishek Moitra

Publications

261

Citations

H-Index

Page 1

	Year	Citations
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? Youngeun Kim, Hyoungseob Park, Abhishek Moitra, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Convolutional Neural NetworkEngineeringMachine LearningNeural RecodingAutoencoders	2022	75
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Total EnergyEngineeringMachine LearningNeural Networks (Machine Learning)Computer Architecture	2022	54
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	2023	32
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, EngineeringSnn InferenceComputer ArchitectureNon-ideal Memristive CrossbarsNeurochip	2022	18
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks Ruokai Yin, Yuhang Li, Abhishek Moitra,	2024	18
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin, Youngeun Kim, Yuhang Li, IEEE Transactions on Emerging Topics in Computational Intelligence	2024	18
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	2021	12
Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks Youngeun Kim, Yuhang Li, Abhishek Moitra, Frontiers in Neuroscience	2023	12
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing Yuhang Li, Abhishek Moitra, Tamar Geller,	2023	12
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim,	2023	10

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