Priyadarshini Panda

208 papers A* 16A 16B 10C 1Misc 7Journal 147Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QuRL: Efficient Reinforcement Learning with Quantized Rollout. CoRR Yuhang Li, Reena Elangovan, Xin Dong, Priyadarshini Panda, Brucek Khailany
2025	J	`jnl`	Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning. SIAM J. Sci. Comput. Qian Zhang, Chenxi Wu, Adar Kahana, George Em Karniadakis, Youngeun Kim, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection. CoRR Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025	J	`jnl`	Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection. Trans. Mach. Learn. Res. Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025	J	`jnl`	ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2025	J	`jnl`	DiffAxE: Diffusion-driven Hardware Accelerator Generation and Design Space Exploration. CoRR Arkapravo Ghosh, Abhishek Moitra, Abhiroop Bhattacharjee, Ruokai Yin, Priyadarshini Panda
2025	J	`jnl`	DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs. CoRR Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda
2025	J	`jnl`	Event2Vec: Processing neuromorphic events directly by representations in vector space. CoRR Wei Fang, Priyadarshini Panda
2025	A*	`conf`	FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision. DAC Jingxiao Ma, Priyadarshini Panda, Sherief Reda
2025	J	`jnl`	FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision. CoRR Jingxiao Ma, Priyadarshini Panda, Sherief Reda
2025	J	`jnl`	Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits. CoRR Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025	J	`jnl`	Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits. Trans. Mach. Learn. Res. Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda
2025	A*	`conf`	GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration. ICML Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration. CoRR Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025	A	`conf`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. DATE Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy
2025	J	`jnl`	Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. CoRR Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy
2025	C	`conf`	Low-power Spike-based Wearable Analytics on RRAM Crossbars. ISCAS Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen, Xinxin Wang, Priyadarshini Panda
2025	J	`jnl`	Low-power Spike-based Wearable Analytics on RRAM Crossbars. CoRR Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen, Xinxin Wang, Priyadarshini Panda
2025	J	`jnl`	MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network. CoRR Donghyun Lee, Abhishek Moitra, Youngeun Kim, Ruokai Yin, Priyadarshini Panda
2025	—	`conf`	MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs. MLSys Abhishek Moitra, Arkapravo Ghosh, Shrey Agrawal, Aporva Amarnath, Karthik Swaminathan, Priyadarshini Panda
2025	J	`jnl`	MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs. CoRR Abhishek Moitra, Arkapravo Ghosh, Shrey Agarwal, Aporva Amarnath, Karthik Swaminathan, Priyadarshini Panda
2025	J	`jnl`	Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba. CoRR Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. CoRR Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, João Carreira, Priyadarshini Panda
2025	A*	`conf`	PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. DAC Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. CoRR Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition. Neuromorph. Comput. Eng. Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2025	A	`conf`	Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption. DATE Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing
2025	A	`conf`	SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference. ISLPED Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2025	J	`jnl`	SpikePool: Event-driven Spiking Transformer with Pooling Attention. CoRR Donghyun Lee, Alex Sima, Yuhang Li, Panos Stinis, Priyadarshini Panda
2025	A*	`conf`	Spiking Transformer with Spatial-Temporal Attention. CVPR Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	TReX- Reusing Vision Transformer's Attention for Efficient Xbar-Based Computing. IEEE Trans. Emerg. Top. Comput. Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2025	A	`conf`	Tutorial: Autonomy with Neuromorphic System. ISLPED Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 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
2024	Misc	`conf`	Are SNNs Truly Energy-efficient? - A Hardware Perspective. ICASSP Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2024	J	`jnl`	ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation. CoRR Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024	J	`jnl`	Do we really need a large number of visual prompts? Neural Networks Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2024	—	`conf`	GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. ECCV (13) Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda
2024	A	`conf`	HaLo-FL: Hardware-Aware Low-Precision Federated Learning. DATE Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024	A*	`conf`	LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks. MICRO Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
2024	J	`jnl`	LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. CoRR Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
2024	J	`jnl`	MCAIMem: A Mixed SRAM and eDRAM Cell for Area and Energy-Efficient On-Chip AI Memory. IEEE Trans. Very Large Scale Integr. Syst. Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024	B	`conf`	MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. ASPDAC Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2024	—	`conf`	One-Stage Prompt-Based Continual Learning. ECCV (13) Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	One-stage Prompt-based Continual Learning. CoRR Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024	A*	`conf`	PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. DAC Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
2024	J	`jnl`	PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
2024	J	`jnl`	ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. CoRR Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2024	J	`jnl`	RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2024	Misc	`conf`	Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. CODES+ISSS Mohamed Ibrahim, Zishen Wan, Haitong Li, Priyadarshini Panda, Tushar Krishna, Pentti Kanerva, Yiran Chen, Arijit Raychowdhury
2024	J	`jnl`	Spiking Transformer with Spatial-Temporal Attention. CoRR Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda
2024	J	`jnl`	TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2024	A	`conf`	TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction. CoRR Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda
2024	J	`jnl`	Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2023	J	`jnl`	Are SNNs Truly Energy-efficient? - A Hardware Perspective. CoRR Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
2023	A	`conf`	DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. DATE Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. CoRR Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Do We Really Need a Large Number of Visual Prompts? CoRR Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	Editorial: Focus on algorithms for neuromorphic computing. Neuromorph. Comput. Eng. Robert Legenstein, Arindam Basu, Priyadarshini Panda
2023	Misc	`conf`	Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract). ACSSC Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023	—	`conf`	Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023	J	`jnl`	Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023	J	`jnl`	Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
2023	A*	`conf`	Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2023	J	`jnl`	Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda
2023	—	`conf`	Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing. ACM Great Lakes Symposium on VLSI Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023	J	`jnl`	HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms. CoRR Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	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. Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023	A*	`conf`	Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. DAC Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
2023	J	`jnl`	Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. CoRR Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
2023	J	`jnl`	MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory. CoRR Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	MINT: Multiplier-less Integer Quantization for Spiking Neural Networks. CoRR Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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 Michael 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
2023	J	`jnl`	RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023	A*	`conf`	SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023	J	`jnl`	SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2023	J	`jnl`	StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2023	J	`jnl`	Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2023	A*	`conf`	XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars. CoRR Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2022	J	`jnl`	2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 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, Nini Pryds
2022	J	`jnl`	Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
2022	J	`jnl`	Adversarial Detection without Model Information. CoRR Abhishek Moitra, Youngeun Kim, Priyadarshini Panda
2022	J	`jnl`	Beyond classification: directly training spiking neural networks for semantic segmentation. Neuromorph. Comput. Eng. Youngeun Kim, Joshua Chough, Priyadarshini Panda
2022	A	`conf`	Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. DATE Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
2022	J	`jnl`	Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. CoRR Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
2022	A	`conf`	Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
2022	J	`jnl`	Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
2022	—	`conf`	Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022	J	`jnl`	Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022	J	`jnl`	Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2022	A	`conf`	Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. DATE Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
2022	J	`jnl`	Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. CoRR Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
2022	J	`jnl`	MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning. CoRR Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022	A*	`conf`	MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. DAC Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022	J	`jnl`	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. Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
2022	—	`conf`	Neural Architecture Search for Spiking Neural Networks. ECCV (24) Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022	J	`jnl`	Neural Architecture Search for Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022	—	`conf`	Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022	J	`jnl`	Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022	J	`jnl`	Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
2022	A*	`conf`	PrivateSNN: Privacy-Preserving Spiking Neural Networks. AAAI Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2022	A*	`conf`	RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. ICRA Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
2022	Misc	`conf`	Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022	J	`jnl`	Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022	J	`jnl`	SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2022	J	`jnl`	SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2022	J	`jnl`	Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
2021	J	`jnl`	2021 Roadmap on Neuromorphic Computing and Engineering. CoRR 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, Nini Pryds
2021	A	`conf`	Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. CoRR Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation. CoRR Youngeun Kim, Joshua Chough, Priyadarshini Panda
2021	J	`jnl`	DetectX - Adversarial Input Detection Using Current Signatures in Memristive XBar Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	DetectX - Adversarial Input Detection using Current Signatures in Memristive XBar Arrays. CoRR Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Domain Adaptation Without Source Data. IEEE Trans. Artif. Intell. Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong
2021	A	`conf`	Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. DATE Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. CoRR Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
2021	J	`jnl`	Federated Learning with Spiking Neural Networks. CoRR Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
2021	J	`jnl`	Implicit adversarial data augmentation and robustness with Noise-based Learning. Neural Networks Priyadarshini Panda, Kaushik Roy
2021	J	`jnl`	Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. CoRR Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
2021	J	`jnl`	Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. Neural Networks Youngeun Kim, Priyadarshini Panda
2021	J	`jnl`	PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. CoRR Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2021	J	`jnl`	RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. CoRR Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
2021	J	`jnl`	Visual Explanations from Spiking Neural Networks using Interspike Intervals. CoRR Youngeun Kim, Priyadarshini Panda
2020	J	`jnl`	A Low Effort Approach to Structured CNN Design Using PCA. IEEE Access Isha Garg, Priyadarshini Panda, Kaushik Roy
2020	B	`conf`	Activation Density Driven Efficient Pruning in Training. ICPR Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda
2020	J	`jnl`	Activation Density driven Energy-Efficient Pruning in Training. CoRR Timothy Foldy-Porto, Priyadarshini Panda
2020	J	`jnl`	Compression-aware Continual Learning using Singular Value Decomposition. CoRR Varigonda Pavan Teja, Priyadarshini Panda
2020	J	`jnl`	Domain Adaptation without Source Data. CoRR Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
2020	A*	`conf`	Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. ICLR Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2020	J	`jnl`	Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. CoRR Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2020	B	`conf`	Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. IJCNN Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
2020	B	`conf`	Energy-efficient and Robust Cumulative Training with Net2Net Transformation. IJCNN Aosong Feng, Priyadarshini Panda
2020	J	`jnl`	Energy-efficient and Robust Cumulative Training with Net2Net Transformation. CoRR Aosong Feng, Priyadarshini Panda
2020	J	`jnl`	Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks. CoRR Abhishek Moitra, Priyadarshini Panda
2020	J	`jnl`	Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations. CoRR Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy
2020	—	`conf`	Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations. ECCV (29) Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy
2020	Misc	`conf`	Invited Talk: Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems. VLSID Priyadarshini Panda, Kaushik Roy
2020	J	`jnl`	NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. CoRR Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
2020	B	`conf`	Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. IJCNN Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
2020	J	`jnl`	Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. CoRR Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
2020	J	`jnl`	QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks. CoRR Priyadarshini Panda
2020	A	`conf`	QUANOS: adversarial noise sensitivity driven hybrid quantization of neural networks. ISLPED Priyadarshini Panda
2020	J	`jnl`	Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors. CoRR Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy
2020	J	`jnl`	Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks. CoRR Abhiroop Bhattacharjee, Priyadarshini Panda
2020	J	`jnl`	Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch. CoRR Youngeun Kim, Priyadarshini Panda
2020	J	`jnl`	SwitchX- Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binary Neural Networks on Memristive Xbars. CoRR Abhiroop Bhattacharjee, Priyadarshini Panda
2020	Misc	`conf`	Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy
2020	J	`jnl`	Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. Neural Networks Deboleena Roy, Priyadarshini Panda, Kaushik Roy
2019	B	`conf`	A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. IJCNN Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
2019	J	`jnl`	A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. CoRR Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
2019	J	`jnl`	Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2019	J	`jnl`	Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. IEEE Access Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
2019	J	`jnl`	Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. CoRR Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
2019	B	`conf`	Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. IJCNN Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy
2019	J	`jnl`	Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. CoRR Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy
2019	J	`jnl`	Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons. IEEE Trans. Very Large Scale Integr. Syst. Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen
2019	B	`conf`	Neural Networks at the Edge. SMARTCOMP Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy
2019	J	`jnl`	STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nitin Rathi, Priyadarshini Panda, Kaushik Roy
2019	J	`jnl`	Structured Learning for Action Recognition in Videos. IEEE J. Emerg. Sel. Topics Circuits Syst. Yinghan Long, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2019	J	`jnl`	Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation. CoRR Deboleena Roy, Priyadarshini Panda, Kaushik Roy
2019	J	`jnl`	Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization. CoRR Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy
2018	J	`jnl`	A Low Effort Approach to Structured CNN Design Using PCA. CoRR Isha Garg, Priyadarshini Panda, Kaushik Roy
2018	J	`jnl`	ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan, Kaushik Roy
2018	J	`jnl`	Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy
2018	J	`jnl`	Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. CoRR Priyadarshini Panda, Kaushik Roy
2018	J	`jnl`	Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons. CoRR Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen
2018	J	`jnl`	STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2018	J	`jnl`	Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning. CoRR Deboleena Roy, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks. CoRR Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan, Kaushik Roy
2017	—	`conf`	An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. ICRC Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen
2017	J	`jnl`	An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. CoRR Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen
2017	J	`jnl`	Chaos-guided Input Structuring for Improved Learning in Recurrent Neural Networks. CoRR Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks. CoRR Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
2017	J	`jnl`	Energy-Efficient Object Detection Using Semantic Decomposition. IEEE Trans. Very Large Scale Integr. Syst. Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
2017	J	`jnl`	Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. ACM J. Emerg. Technol. Comput. Syst. Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2017	B	`conf`	EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. IJCNN Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
2017	J	`jnl`	FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy
2017	J	`jnl`	Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks. CoRR Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy
2017	A	`conf`	Gabor filter assisted energy efficient fast learning Convolutional Neural Networks. ISLPED Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model. CoRR Priyadarshini Panda, Narayan Srinivasa
2017	A*	`conf`	RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. DAC Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition. CoRR Nitin Rathi, Priyadarshini Panda, Kaushik Roy
2017	A	`conf`	Semantic driven hierarchical learning for energy-efficient image classification. DATE Priyadarshini Panda, Kaushik Roy
2017	—	`conf`	Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis. EMBC Maryam Parsa, Priyadarshini Panda, Shreyas Sen, Kaushik Roy
2016	J	`jnl`	Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition. CoRR Priyadarshini Panda, Kaushik Roy
2016	A	`conf`	Conditional Deep Learning for energy-efficient and enhanced pattern recognition. DATE Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2016	J	`jnl`	FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. CoRR Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy
2016	A*	`conf`	Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
2016	Misc	`conf`	Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. VLSID Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy
2016	J	`jnl`	Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition. CoRR Priyadarshini Panda, Kaushik Roy
2016	B	`conf`	Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition. IJCNN Priyadarshini Panda, Kaushik Roy
2015	J	`jnl`	Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition. CoRR Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2015	J	`jnl`	Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. CoRR Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy
2015	J	`jnl`	Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. CoRR Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy