Metastability-Resilient Synchronization FIFO for SFQ Logic. - Gourav Datta; Haolin Cong; Souvik Kundu 002; Peter A. Beerel (CoRR, 2019)

Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. - Gourav Datta; Peter A. Beerel (ISCAS, 2020)

qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit. - Souvik Kundu 002; Gourav Datta; Peter A. Beerel; Massoud Pedram (CoRR, 2020)

Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. - Gourav Datta; Souvik Kundu 002; Peter A. Beerel (IJCNN, 2021)

Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression. - Souvik Kundu 002; Gourav Datta; Massoud Pedram; Peter A. Beerel (WACV, 2021)

HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification. - Gourav Datta; Souvik Kundu 002; Akhilesh R. Jaiswal; Peter A. Beerel (CoRR, 2021)

Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression. - Souvik Kundu 002; Gourav Datta; Massoud Pedram; Peter A. Beerel (CoRR, 2021)

Metastability in Superconducting Single Flux Quantum (SFQ) Logic. - Gourav Datta; Yunkun Lin; Bo Zhang 098; Peter A. Beerel (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? - Gourav Datta; Peter A. Beerel (DATE, 2022)

Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. - Gourav Datta; Zihan Yin; Ajey P. Jacob; Akhilesh R. Jaiswal; Peter A. Beerel (ECCV Workshops (6), 2022)

Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. - Gourav Datta; Tyler Etchart; Vivek Yadav; Varsha Hedau; Pradeep Natarajan; Shih-Fu Chang (ICASSP, 2022)

P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. - Gourav Datta; Souvik Kundu 002; Zihan Yin; Joe Mathai; Zeyu Liu 003; Zixu Wang; Mulin Tian; Shunlin Lu; Ravi Teja Lakkireddy; Andrew G. Schmidt; Wael Abd-Almageed; Ajey P. Jacob; et al. (VLSI-SoC, 2022)

P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications. - Gourav Datta; Souvik Kundu 002; Zihan Yin; Ravi Teja Lakkireddy; Joe Mathai; Ajey P. Jacob; Peter A. Beerel; Akhilesh R. Jaiswal (CoRR, 2022)

Toward Efficient Hyperspectral Image Processing inside Camera Pixels. - Gourav Datta; Zihan Yin; Ajey P. Jacob; Akhilesh R. Jaiswal; Peter A. Beerel (CoRR, 2022)

Enabling ISP-less Low-Power Computer Vision. - Gourav Datta; Zeyu Liu 003; Zihan Yin; Linyu Sun; Akhilesh R. Jaiswal; Peter A. Beerel (CoRR, 2022)

Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs. - Gourav Datta; Haoqin Deng; Robert Aviles; Peter A. Beerel (CoRR, 2022)

Hoyer regularizer is all you need for ultra low-latency spiking neural networks. - Gourav Datta; Zeyu Liu 003; Peter A. Beerel (CoRR, 2022)

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). - Md. Abdullah-Al Kaiser; Gourav Datta; Sreetama Sarkar; Souvik Kundu 002; Zihan Yin; Manas Garg; Ajey P. Jacob; Peter A. Beerel; Akhilesh R. Jaiswal (ACM Great Lakes Symposium on VLSI, 2023)

In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. - Gourav Datta; Zeyu Liu 003; Md. Abdullah-Al Kaiser; Souvik Kundu 002; Joe Mathai; Zihan Yin; Ajey P. Jacob; Akhilesh R. Jaiswal; Peter A. Beerel (ICASSP, 2023)

FireFly: A Synthetic Dataset for Ember Detection in Wildfire. - Yue Hu; Xinan Ye; Yifei Liu; Souvik Kundu 002; Gourav Datta; Srikar Mutnuri; Namo Asavisanu; Nora Ayanian; Konstantinos Psounis; Peter A. Beerel (ICCV (Workshops), 2023)

Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. - Zihan Yin; Gourav Datta; Md. Abdullah-Al Kaiser; Peter A. Beerel; Ajey P. Jacob; Akhilesh Jaiswal 001 (ICRC, 2023)

Listening Style-Aware Dyadic Facial Motion Generation. - Gourav Datta; Boshi Huang; Nitesh Sekhar; Vivek Yadav; Shih-Yao Lin 001; Ayush Jaiswal; Prateek Singhal (STRL@IJCAI, 2023)

ViTA: A Vision Transformer Inference Accelerator for Edge Applications. - Shashank Nag; Gourav Datta; Souvik Kundu 002; Nitin Chandrachoodan; Peter A. Beerel (ISCAS, 2023)

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. - Gourav Datta; Haoqin Deng; Robert Aviles; Zeyu Liu 003; Peter A. Beerel (ISLPED, 2023)

Self-Attentive Pooling for Efficient Deep Learning. - Fang Chen; Gourav Datta; Souvik Kundu 002; Peter A. Beerel (WACV, 2023)

Enabling ISPless Low-Power Computer Vision. - Gourav Datta; Zeyu Liu 003; Zihan Yin; Linyu Sun; Akhilesh R. Jaiswal; Peter A. Beerel (WACV, 2023)

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types. - Yue Hu; Gourav Datta; Kira Beerel; Peter A. Beerel (CoRR, 2023)

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. - Gourav Datta; Zeyu Liu 003; Anni Li; Peter A. Beerel (CoRR, 2023)

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks. - Gourav Datta; Zeyu Liu 003; James Diffenderfer; Bhavya Kailkhura; Peter A. Beerel (CoRR, 2023)

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. - Md. Abdullah-Al Kaiser; Gourav Datta; Zixu Wang; Ajey P. Jacob; Peter A. Beerel; Akhilesh R. Jaiswal (Frontiers Neuroinformatics, 2023)

Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. - Md. Abdullah-Al Kaiser; Gourav Datta; Peter A. Beerel; Akhilesh R. Jaiswal (DAC, 2024)

Training Ultra-Low-Latency Spiking Neural Networks from Scratch. - Gourav Datta; Zeyu Liu 003; Peter A. Beerel (ICASSP, 2024)

Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? - Gourav Datta; Zeyu Liu 003; Peter Anthony Beerel (ICLR, 2024)

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. - Zeyu Liu 003; Gourav Datta; Anni Li; Peter Anthony Beerel (ICLR, 2024)

FixPix: Fixing Bad Pixels using Deep Learning. - Sreetama Sarkar; Xinan Ye; Gourav Datta; Peter A. Beerel (ICPR (3), 2024)

Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types. - Yue Hu; Gourav Datta; Kira Beerel; Yao Liu; Peter A. Beerel (SiPS, 2024)

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. - Md. Abdullah-Al Kaiser; Gourav Datta; Peter A. Beerel; Akhilesh R. Jaiswal (CoRR, 2024)

ReDistill: Residual Encoded Distillation for Peak Memory Reduction. - Fang Chen; Gourav Datta; Mujahid Al Rafi; Hyeran Jeon; Meng Tang (CoRR, 2024)

Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors. - Md. Abdullah-Al Kaiser; Sreetama Sarkar; Peter A. Beerel; Akhilesh R. Jaiswal; Gourav Datta (CoRR, 2024)

Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence. - Md. Abdullah-Al Kaiser; Gourav Datta; Jordan Athas; Christian Duffee; Ajey P. Jacob; Pedram Khalili Amiri; Peter A. Beerel; Akhilesh R. Jaiswal (CoRR, 2024)

Analog vs. Digital In-Sensor Computing: A Tale of Two Paradigms. - Gourav Datta; Chengwei Zhou (ACM Great Lakes Symposium on VLSI, 2025)

Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. - Gourav Datta; Zeyu Liu 003; Anni Li; Peter A. Beerel (ICASSP, 2025)

Region Masking to Accelerate Video Processing on Neuromorphic Hardware. - Sreetama Sarkar; Sumit Bam Shrestha; Yue Che; Leobardo Campos-Macias; Gourav Datta; Peter A. Beerel (ISQED, 2025)

Invited: A Hardware-Algorithm Vision for In-Sensor Intelligence. - Chengwei Zhou; Gourav Datta (ISVLSI, 2025)

MaskVD: Region Masking for Efficient Video Object Detection. - Sreetama Sarkar; Gourav Datta; Souvik Kundu 002; Kai Zheng; Chirayata Bhattacharyya; Peter A. Beerel (WACV, 2025)

ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs. - Fang Chen; Gourav Datta; Mujahid Al Rafi; Hyeran Jeon; Meng Tang (Trans. Mach. Learn. Res., 2025)

When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency. - Gourav Datta; Zeyu Liu 003; James Diffenderfer; Bhavya Kailkhura; Peter Anthony Beerel (Trans. Mach. Learn. Res., 2025)

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices. - Arnab Sanyal; Prithwish Mukherjee; Gourav Datta; Sandeep P. Chinchali (CoRR, 2025)

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics. - Mehrdad Morsali; Chengwei Zhou; Deniz Najafi; Sreetama Sarkar; Pietro Mercati; Navid Khoshavi; Peter A. Beerel; Mahdi Nikdast; Gourav Datta; Shaahin Angizi (CoRR, 2025)