Abhishek Moitra

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Biologically Plausible

Energy Efficient

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Do we really need a large number of visual prompts? Neural Networks 177 (2024)
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. ASPDAC (2024)
Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. CoRR (2024)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation. CoRR (2024)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. ICASSP (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR (2024)
Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HaLo-FL: Hardware-Aware Low-Precision Federated Learning. DATE (2024)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE (2024)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HyDe: A brid PCM/FeFET/SRAM vice-Search for Optimizing Area and Energy-Efficiencies in Analog IMC Platforms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
: Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars. ACM Trans. Embed. Comput. Syst. 22 (4) (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. CoRR (2023)
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks. CoRR (2023)
Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. CoRR (2023)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. CoRR (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. DATE (2023)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
Do We Really Need a Large Number of Visual Prompts? CoRR (2023)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract). ACSSC (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR (2023)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC (2023)
Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. DAC (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP (2022)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR (2022)
Abhishek Moitra, Youngeun Kim, Priyadarshini Panda
Adversarial Detection without Model Information. CoRR (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. DAC (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR (2022)
Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning. CoRR (2022)
Abhishek Moitra, Priyadarshini Panda
DetectX - Adversarial Input Detection using Current Signatures in Memristive XBar Arrays. CoRR (2021)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. DATE (2021)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. CoRR (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE (2021)
Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. CoRR (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. CoRR (2021)
Abhishek Moitra, Priyadarshini Panda
DetectX - Adversarial Input Detection Using Current Signatures in Memristive XBar Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (11) (2021)
Abhishek Moitra, Priyadarshini Panda
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks. CoRR (2020)
Gibin ChackoGeorge, Abhishek Moitra, Sriyash Caculo, A. Amalin Prince, J. J. U. Buch, Surya K. Pathak
A Novel and Efficient Hardware Accelerator Architecture for Signal Normalization. Circuits Syst. Signal Process. 39 (5) (2020)
Gibin ChackoGeorge, Abhishek Moitra, Sriyash Caculo, A. Amalin Prince
Efficient Architecture for Implementation of Hermite Interpolation on FPGA. DASIP (2018)