GD
Gourav Datta
cs.CVeess.IVcs.LGcs.ARcs.AIcs.NEcs.ETcs.CLeess.SPphysics.app-ph
On Valency
published · living versionsW_zdb7prpq·v1 · currentpublished
Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language Models
with Chengwei Zhou, Zhaoyan Jia, Massoud Pedram
1 version
Preprints & journals
53 papers in the corpus · 2019–2026ForkGRPO: Efficient Exploration and Fine-Grained Credit Assignment for Diffusion Language Models2610.19408v1 · Zhaoyan Jia, Chengwei Zhou, Gourav Datta et al.2026 · 0 citationsarXiv
Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision2609.13947v1 · Chengwei Zhou, Abu Masum, Xuming Chen et al.2026 · 0 citationsarXiv
BRIDGE-EEG: Bridging Self-Supervised Pretraining and Efficient Deployment for Cross-Dataset EEG Classification2609.12218v1 · Meghna Roy Chowdhury, Chengwei Zhou, Haotian Yu et al.2026 · 0 citationsarXiv
A Time-Encoded Analog Photonic Interposer for Energy-EfficientIntegration of Analog Vision Sensors and Analog Accelerators2609.03125v1 · Subhradip Chakraborty, Zihan Yin, Xuming Chen et al.2026 · 0 citationsarXiv
Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators2607.19421v1 · Xuming Chen, Deniz Najafi, Mehrdad Morsali et al.2026 · 0 citationsarXiv
FrequencyFormer: A Co-Designed Sensor-to-Processor Pipeline for Frequency-Domain Vision Transformer Inference2606.19574v1 · Chengwei Zhou, Ovishake Sen, Xuming Chen et al.2026 · 0 citationsarXiv
PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices2608.26113v1 · Deepak Vungarala, Deniz Najafi, Abdulrahman Aljoudi et al.2026 · 0 citationsarXiv
Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence2604.10404v1 · Chengwei Zhou, Zhaoyan Jia, Haotian Yu et al.2026 · 0 citationsarXiv
Light-Bound Transformers: Hardware-Anchored Robustness for Silicon-Photonic Computer Vision Systems2604.04330v1 · Xuming Chen, Deniz Najafi, Chengwei Zhou et al.2026 · 0 citationsarXiv
In-Memory ADC-Based Nonlinear Activation Quantization for Efficient In-Memory Computing2603.10540v1 · Shuai Dong, Junyi Yang, Biyan Zhou et al.2026 · 0 citationsarXiv
Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification2602.24111v2 · Vikash Singh, Debargha Ganguly, Haotian Yu et al.2026 · 0 citationsarXiv
RT-NeuS: Towards Real-Time Neuro-Symbolic Video Understanding via Adaptive Temporal Verification2602.23553v2 · Shawn Liang, Sahil Shah, Chengwei Zhou et al.2026 · 0 citationsarXiv
Brain-inspired energy efficient technologies for next-generation artificial intelligence.41731107 · Chiel, Hillel J, Coggan, Jay S, Datta, Gourav et al.2026 · 3 citationsBiological cybernetics. 2026;120(2)
Rethinking Vision Transformer Depth via Structural Reparameterization2511.19718v1 · Chengwei Zhou, Vipin Chaudhary, Gourav Datta2025 · 0 citationsarXiv
BladderFormer: A Streaming Transformer for Real-Time Urological State Monitoring2509.24178v1 · Chengwei Zhou, Steve Majerus, Gourav Datta2025 · 0 citationsarXiv
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling2509.18467v2 · Zeyu Liu, Souvik Kundu, Lianghao Jiang et al.2025 · 0 citationsarXiv
NVM-in-Cache: Repurposing Commodity 6T SRAM Cache into NVM Analog Processing-in-Memory Engine using a Novel Compute-on-Powerline Scheme2510.15904v2 · Subhradip Chakraborty, Ankur Singh, Xuming Chen et al.2025 · 0 citationsarXiv
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices2505.02380v4 · Arnab Sanyal, Gourav Datta, Prithwish Mukherjee et al.2025 · 0 citationsarXiv
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing2505.02256v2 · Chengwei Zhou, Sreetama Sarkar, Yuming Li et al.2025 · 1 citationarXiv
Region Masking to Accelerate Video Processing on Neuromorphic Hardware2503.16775v1 · Sreetama Sarkar, Sumit Bam Shrestha, Yue Che et al.2025 · 0 citationsarXiv
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications2503.16798v1 · Zihan Yin, Subhradip Chakraborty, Ankur Singh et al.2025 · 0 citationsarXiv
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence2410.10592v1 · Md Abdullah-Al Kaiser, Gourav Datta, Jordan Athas et al.2024 · 0 citationsarXiv
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors2409.17341v1 · Md Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel et al.2024 · 1 citationarXiv
MaskVD: Region Masking for Efficient Video Object Detection2407.12067v1 · Sreetama Sarkar, Gourav Datta, Souvik Kundu et al.2024 · 9 citationsarXiv
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs2406.03744v3 · Fang Chen, Gourav Datta, Mujahid Al Rafi et al.2024 · 1 citationarXiv
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ2402.15121v1 · Md Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel et al.2024 · 1 citationarXiv
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units2402.04882v1 · Zeyu Liu, Gourav Datta, Anni Li et al.2024 · 2 citationsarXiv
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks2312.06900v1 · Gourav Datta, Zeyu Liu, James Diffenderfer et al.2023 · 0 citationsarXiv
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers2311.16456v1 · Gourav Datta, Zeyu Liu, Anni Li et al.2023 · 1 citationarXiv
FixPix: Fixing Bad Pixels using Deep Learning2310.11637v2 · Sreetama Sarkar, Xinan Ye, Gourav Datta et al.2023 · 2 citationsarXiv
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types2309.08136v1 · Yue Hu, Gourav Datta, Kira Beerel et al.2023 · 0 citationsarXiv
FireFly A Synthetic Dataset for Ember Detection in Wildfire2308.03164v1 · Yue Hu, Xinan Ye, Yifei Liu et al.2023 · 8 citationsarXiv
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors.37214316 · Kaiser, Md Abdullah-Al, Datta, Gourav, Wang, Zixu et al.2023 · 16 citationsFrontiers in neuroinformatics. 2023;17:1144301
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)2304.02968v1 · Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar et al.2023 · 4 citationsGLSVLSI '23: Great Lakes Symposium on VLSI 2023 Proceedings
ViTA: A Vision Transformer Inference Accelerator for Edge Applications2302.09108v1 · Shashank Nag, Gourav Datta, Souvik Kundu et al.2023 · 69 citations2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 2023, pp. 1-5
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision2212.10881v1 · Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser et al.2022 · 14 citationsarXiv
Hoyer regularizer is all you need for ultra low-latency spiking neural networks2212.10170v1 · Gourav Datta, Zeyu Liu, Peter A. Beerel2022 · 5 citationsarXiv
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs2210.12613v1 · Gourav Datta, Haoqin Deng, Robert Aviles et al.2022 · 10 citationsarXiv
Enabling ISP-less Low-Power Computer Vision2210.05451v1 · Gourav Datta, Zeyu Liu, Zihan Yin et al.2022 · 14 citationsarXiv
Self-Attentive Pooling for Efficient Deep Learning2209.07659v3 · Fang Chen, Gourav Datta, Souvik Kundu et al.2022 · 21 citationsarXiv
A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications.35999235 · Datta, Gourav, Kundu, Souvik, Yin, Zihan et al.2022 · 38 citationsScientific reports. 2022;12(1):14396
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking2205.14285v1 · Gourav Datta, Souvik Kundu, Zihan Yin et al.2022 · 18 citationsarXiv
ACE-SNN: Algorithm-Hardware Co-design of Energy-Efficient & Low-Latency Deep Spiking Neural Networks for 3D Image Recognition.35464314 · Datta, Gourav, Kundu, Souvik, Jaiswal, Akhilesh R et al.2024 · 31 citationsFrontiers in neuroscience. 2022;16:815258
Toward Efficient Hyperspectral Image Processing inside Camera Pixels2203.05696v1 · Gourav Datta, Zihan Yin, Ajey Jacob et al.2022 · 4 citationsarXiv
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications2203.04737v2 · Gourav Datta, Souvik Kundu, Zihan Yin et al.2022 · 6 citationsarXiv
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?2112.12133v1 · Gourav Datta, Peter A. Beerel2021 · 41 citationsarXiv
A High Performance and Robust FIFO Synchronizer-Interface for Crossing Clock Domains in SFQ Logic2108.03719v1 · Gourav Datta, Shidie Lin, Peter A. Beerel2021 · 0 citationsarXiv
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification2107.11979v2 · Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal et al.2021 · 6 citationsarXiv
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding2107.12374v1 · Gourav Datta, Souvik Kundu, Peter A. Beerel2021 · 34 citationsarXiv
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression2107.12445v1 · Souvik Kundu, Gourav Datta, Massoud Pedram et al.2021 · 13 citationsarXiv
Career total: 78 works. 53 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.