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Gourav Datta
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Spike-thrift: Towards energy-efficient deep spiking neural networks by limiting spiking activity via attention-guided compression
S Kundu, G Datta, M Pedram, PA Beerel
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
1052021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
G Datta, S Kundu, PA Beerel
IJCNN 2021, 2021
372021
Can deep neural networks be converted to ultra low-latency spiking neural networks?
G Datta, PA Beerel
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 718-723, 2022
352022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
G Datta, S Kundu, Z Yin, RT Lakkireddy, PA Beerel, A Jacob, AR Jaiswal
Scientific Reports, 2022
302022
ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition
G Datta, S Kundu, AR Jaiswal, PA Beerel
Frontiers in neuroscience 16, 815258, 2022
29*2022
Towards low-latency energy-efficient deep snns via attention-guided compression
S Kundu, G Datta, M Pedram, PA Beerel
2nd Sparse Neural Networks Workshop (co-located with ICML 2022), 2021
192021
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency
G Datta, H Deng, R Aviles, Z Liu, PA Beerel
2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023
16*2023
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
G Datta, S Kundu, Z Yin, J Mathai, Z Liu, Z Wang, M Tian, S Lu, ...
VLSI-SoC 2022, 2022
132022
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
G Datta, Z Liu, PA Beerel
arXiv preprint arXiv:2212.10170, 2022
102022
Asd-transformer: Efficient active speaker detection using self and multimodal transformers
G Datta, T Etchart, V Yadav, V Hedau, P Natarajan, SF Chang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
102022
ViTA: A Vision Transformer Inference Accelerator for Edge Applications
S Nag, G Datta, S Kundu, N Chandrachoodan, PA Beerel
arXiv preprint arXiv:2302.09108 (ISCAS 2023), 2023
92023
Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels
G Datta, Z Yin, AP Jacob, AR Jaiswal, PA Beerel
European Conference on Computer Vision, 303-316, 2022
9*2022
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
G Datta, Z Liu, MAA Kaiser, S Kundu, J Mathai, Z Yin, AP Jacob, ...
arXiv preprint arXiv:2212.10881 (ICASSP 2023), 2022
82022
HUNT All-In Psychiatry
M Liu, Y Jiang, R Wedow, Y Li, DM Brazel, F Chen, G Datta, ...
Association studies of up to 1, 0
8
qBSA: Logic design of a 32-bit block-skewed RSFQ arithmetic logic unit
S Kundu, G Datta, PA Beerel, M Pedram
2019 IEEE International Superconductive Electronics Conference (ISEC), 1-3, 2019
72019
qCDC: Metastability-resilient synchronization FIFO for SFQ logic
G Datta, H Cong, S Kundu, PA Beerel
2019 IEEE International Superconductive Electronics Conference (ISEC), 1-3, 2019
7*2019
Neuromorphic-P2M: Processing-in-Pixel-in-Memory Paradigm for Neuromorphic Image Sensors
MAA Kaiser*, G Datta*, Z Wang, AP Jacob, PA Beerel, ...
Frontiers in Neuroinformatics, 2023
52023
Metastability in superconducting single flux quantum (SFQ) logic
G Datta, Y Lin, B Zhang, PA Beerel
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (5), 1990-2002, 2021
42021
Self-Attentive Pooling for Efficient Deep Learning
F Chen, G Datta, S Kundu, P Beerel
arXiv preprint arXiv:2209.07659 (WACV 2023), 2022
32022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
S Kundu, G Datta, M Pedram, PA Beerel
22021
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