Priyadarshini Panda

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 164

Top Venues

CoRR

DATE

IJCNN

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

Publications

Youngeun Kim, Yuhang Li, Priyadarshini Panda
One-stage Prompt-based Continual Learning. CoRR (2024)
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6 (3) (2024)
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)
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. CoRR (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)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR (2023)
Abhiroop Bhattacharjee, Priyadarshini Panda
: Gmin-Gmax Switching for Energy-efficient and Robust Implementation of Binarized Neural Networks on ReRAM Xbars. ACM Trans. Design Autom. Electr. Syst. 28 (4) (2023)
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)
Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168 (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)
Robert Legenstein, Arindam Basu, Priyadarshini Panda
Editorial: Focus on algorithms for neuromorphic computing. Neuromorph. Comput. Eng. 3 (3) (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)
Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR (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)
Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS (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)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI (2023)
Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning 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)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. 2023 (2023)
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55 (12) (2023)
Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. 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)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (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)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) (2022)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) (2022)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Privacy-Preserving Spiking Neural Networks. AAAI (2022)
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)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. ECCV (24) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. CoRR (2022)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (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)
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. ICRA (2022)
Abhishek Moitra, Youngeun Kim, Priyadarshini Panda
Adversarial Detection without Model Information. CoRR (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. DATE (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)
Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. 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)
Youngeun Kim, Joshua Chough, Priyadarshini Panda
Beyond classification: directly training spiking neural networks for semantic segmentation. Neuromorph. Comput. Eng. 2 (4) (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. 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. CoRR (2022)
Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. DATE (2022)
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Joshua Chough, Priyadarshini Panda
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation. CoRR (2021)
Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong
Domain Adaptation Without Source Data. IEEE Trans. Artif. Intell. 2 (6) (2021)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Youngeun Kim, Priyadarshini Panda
Visual Explanations from Spiking Neural Networks using Interspike Intervals. CoRR (2021)
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)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning with Spiking Neural Networks. CoRR (2021)
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. CoRR (2021)
Priyadarshini Panda, Kaushik Roy
Implicit adversarial data augmentation and robustness with Noise-based Learning. Neural Networks 141 (2021)
Youngeun Kim, Priyadarshini Panda
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. Neural Networks 144 (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)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Fully Privacy-Preserving Spiking 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)
Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations. ECCV (29) (2020)
Deboleena Roy, Priyadarshini Panda, Kaushik Roy
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. Neural Networks 121 (2020)
Youngeun Kim, Priyadarshini Panda
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch. CoRR (2020)
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
Domain Adaptation without Source Data. CoRR (2020)
Varigonda Pavan Teja, Priyadarshini Panda
Compression-aware Continual Learning using Singular Value Decomposition. CoRR (2020)

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Publication Activity (10 Years)

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Priyadarshini Panda