Gourav Datta

71 papers A* 3A 7B 1C 4Misc 4Journal 41Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Pathway to Near Tissue Computing Through Processing-in-CTIA Pixels for Biomedical Applications.
IEEE Trans. Circuits Syst. II Express Briefs
Zihan Yin, Subhradip Chakraborty, Ankur Singh, Chengwei Zhou, Gourav Datta, Akhilesh Jaiswal
2026 J jnl
Brain-inspired energy efficient technologies for next-generation artificial intelligence.
Biol. Cybern.
Hillel J. Chiel, Jay S. Coggan, Gourav Datta, Jean-Marc Fellous, William R. P. Nourse, Roger D. Quinn, Peter J. Thomas
2026 J jnl
In-Memory ADC-Based Nonlinear Activation Quantization for Efficient In-Memory Computing.
CoRR
Shuai Dong, Junyi Yang, Biyan Zhou, Hongyang Shang, Gourav Datta, Arindam Basu
2026 J jnl
LE-NeuS: Latency-Efficient Neuro-Symbolic Video Understanding via Adaptive Temporal Verification.
CoRR
Shawn Liang, Sahil Shah, Chengwei Zhou, S. P. Sharan, Harsh Goel, Arnab Sanyal, Sandeep Chinchali, Gourav Datta
2026 J jnl
Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification.
CoRR
Vikash Singh, Debargha Ganguly, Haotian Yu, Chengwei Zhou, Prerna Singh, Brandon Lee, Vipin Chaudhary, Gourav Datta
2025 — conf
Analog vs. Digital In-Sensor Computing: A Tale of Two Paradigms.
ACM Great Lakes Symposium on VLSI
Gourav Datta, Chengwei Zhou
2025 Misc conf
Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers.
ICASSP
Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel
2025 J jnl
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices.
CoRR
Arnab Sanyal, Prithwish Mukherjee, Gourav Datta, Sandeep P. Chinchali
2025 C conf
GAN-BiLSTM-HDC: A Hybrid Framework for Robust and Hardware-Efficient Malware Detection.
ICCD
Emilien Meyer, Abu Kaisar Mohammad Masum, Mehran Shoushtari Moghadam, Lida Kouhalvandi, Gourav Datta, Sercan Aygun, M. Hassan Najafi
2025 — conf
Invited: A Hardware-Algorithm Vision for In-Sensor Intelligence.
ISVLSI
Chengwei Zhou, Gourav Datta
2025 — conf
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling.
EMNLP (Findings)
Zeyu Liu, Souvik Kundu, Lianghao Jiang, Anni Li, Srikanth Ronanki, Sravan Babu Bodapati, Gourav Datta, Peter Anthony Beerel
2025 J jnl
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling.
CoRR
Zeyu Liu, Souvik Kundu, Lianghao Jiang, Anni Li, Srikanth Ronanki, Sravan Bodapati, Gourav Datta, Peter A. Beerel
2025 J jnl
Learning Scalable Temporal Representations in Spiking Neural Networks Without Labels.
CoRR
Chengwei Zhou, Gourav Datta
2025 A conf
MaskVD: Region Masking for Efficient Video Object Detection.
WACV
Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel
2025 J jnl
NVM-in-Cache: Repurposing Commodity 6T SRAM Cache into NVM Analog Processing-in-Memory Engine using a Novel Compute-on-Powerline Scheme.
CoRR
Subhradip Chakraborty, Ankur Singh, Xuming Chen, Gourav Datta, Akhilesh R. Jaiswal
2025 A conf
Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics.
ICCAD
Mehrdad Morsali, Chengwei Zhou, Deniz Najafi, Sreetama Sarkar, Pietro Mercati, Navid Khoshavi, Peter A. Beerel, Mahdi Nikdast, Gourav Datta, Shaahin Angizi
2025 J jnl
Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics.
CoRR
Mehrdad Morsali, Chengwei Zhou, Deniz Najafi, Sreetama Sarkar, Pietro Mercati, Navid Khoshavi, Peter A. Beerel, Mahdi Nikdast, Gourav Datta, Shaahin Angizi
2025 J jnl
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs.
Trans. Mach. Learn. Res.
Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang
2025 — conf
Region Masking to Accelerate Video Processing on Neuromorphic Hardware.
ISQED
Sreetama Sarkar, Sumit Bam Shrestha, Yue Che, Leobardo Campos-Macias, Gourav Datta, Peter A. Beerel
2025 J jnl
Region Masking to Accelerate Video Processing on Neuromorphic Hardware.
CoRR
Sreetama Sarkar, Sumit Bam Shrestha, Yue Che, Leobardo Campos-Macias, Gourav Datta, Peter A. Beerel
2025 J jnl
Rethinking Vision Transformer Depth via Structural Reparameterization.
CoRR
Chengwei Zhou, Vipin Chaudhary, Gourav Datta
2025 J jnl
When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency.
Trans. Mach. Learn. Res.
Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter Anthony Beerel
2024 A* conf
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
ICLR
Gourav Datta, Zeyu Liu, Peter Anthony Beerel
2024 J jnl
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors.
CoRR
Md. Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel, Akhilesh R. Jaiswal, Gourav Datta
2024 — conf
FixPix: Fixing Bad Pixels using Deep Learning.
ICPR (3)
Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel
2024 A* conf
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units.
ICLR
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
2024 J jnl
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units.
CoRR
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
2024 — conf
Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types.
SiPS
Yue Hu, Gourav Datta, Kira Beerel, Yao Liu, Peter A. Beerel
2024 J jnl
MaskVD: Region Masking for Efficient Video Object Detection.
CoRR
Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel
2024 J jnl
ReDistill: Residual Encoded Distillation for Peak Memory Reduction.
CoRR
Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang
2024 J jnl
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ.
CoRR
Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal
2024 A* conf
Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ.
DAC
Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal
2024 Misc conf
Training Ultra-Low-Latency Spiking Neural Networks from Scratch.
ICASSP
Gourav Datta, Zeyu Liu, Peter A. Beerel
2024 J jnl
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence.
CoRR
Md. Abdullah-Al Kaiser, Gourav Datta, Jordan Athas, Christian Duffee, Ajey P. Jacob, Pedram Khalili Amiri, Peter A. Beerel, Akhilesh R. Jaiswal
2023 A conf
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency.
ISLPED
Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel
2023 — conf
Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence.
ICRC
Zihan Yin, Gourav Datta, Md. Abdullah-Al Kaiser, Peter A. Beerel, Ajey P. Jacob, Akhilesh Jaiswal
2023 A conf
Enabling ISPless Low-Power Computer Vision.
WACV
Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel
2023 J jnl
FireFly A Synthetic Dataset for Ember Detection in Wildfire.
CoRR
Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel
2023 — conf
FireFly: A Synthetic Dataset for Ember Detection in Wildfire.
ICCV (Workshops)
Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel
2023 Misc conf
In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision.
ICASSP
Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
2023 J jnl
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types.
CoRR
Yue Hu, Gourav Datta, Kira Beerel, Peter A. Beerel
2023 — conf
Listening Style-Aware Dyadic Facial Motion Generation.
STRL@IJCAI
Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal
2023 J jnl
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors.
Frontiers Neuroinformatics
Md. Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
2023 A conf
Self-Attentive Pooling for Efficient Deep Learning.
WACV
Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel
2023 J jnl
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers.
CoRR
Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel
2023 — conf
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M).
ACM Great Lakes Symposium on VLSI
Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
2023 J jnl
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M).
CoRR
Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
2023 C conf
ViTA: A Vision Transformer Inference Accelerator for Edge Applications.
ISCAS
Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel
2023 J jnl
ViTA: A Vision Transformer Inference Accelerator for Edge Applications.
CoRR
Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel
2023 J jnl
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.
CoRR
Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A. Beerel
2022 Misc conf
Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers.
ICASSP
Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang
2022 A conf
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
DATE
Gourav Datta, Peter A. Beerel
2022 J jnl
Enabling ISP-less Low-Power Computer Vision.
CoRR
Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel
2022 J jnl
Hoyer regularizer is all you need for ultra low-latency spiking neural networks.
CoRR
Gourav Datta, Zeyu Liu, Peter A. Beerel
2022 J jnl
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision.
CoRR
Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
2022 C conf
P
VLSI-SoC
Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew G. Schmidt, Wael Abd-Almageed, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
2022 J jnl
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications.
CoRR
Gourav Datta, Souvik Kundu, Zihan Yin, Ravi Teja Lakkireddy, Joe Mathai, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
2022 J jnl
Self-Attentive Pooling for Efficient Deep Learning.
CoRR
Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel
2022 J jnl
Toward Efficient Hyperspectral Image Processing inside Camera Pixels.
CoRR
Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
2022 — conf
Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels.
ECCV Workshops (6)
Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
2022 J jnl
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs.
CoRR
Gourav Datta, Haoqin Deng, Robert Aviles, Peter A. Beerel
2021 J jnl
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
CoRR
Gourav Datta, Peter A. Beerel
2021 J jnl
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification.
CoRR
Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel
2021 J jnl
Metastability in Superconducting Single Flux Quantum (SFQ) Logic.
IEEE Trans. Circuits Syst. I Regul. Pap.
Gourav Datta, Yunkun Lin, Bo Zhang, Peter A. Beerel
2021 A conf
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression.
WACV
Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel
2021 J jnl
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression.
CoRR
Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel
2021 B conf
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding.
IJCNN
Gourav Datta, Souvik Kundu, Peter A. Beerel
2021 J jnl
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding.
CoRR
Gourav Datta, Souvik Kundu, Peter A. Beerel
2020 C conf
Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers.
ISCAS
Gourav Datta, Peter A. Beerel
2020 J jnl
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit.
CoRR
Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram
2019 J jnl
Metastability-Resilient Synchronization FIFO for SFQ Logic.
CoRR
Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel