| 2025 | EMNLP | LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling. | Zeyu Liu, Souvik Kundu, Lianghao Jiang, Anni Li, Srikanth Ronanki, Sravan Babu Bodapati, Gourav Datta, Peter Anthony Beerel |
| 2025 | ICASSP | Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. | Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel |
| 2025 | ICCAD | 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 |
| 2025 | ICCD | GAN-BiLSTM-HDC: A Hybrid Framework for Robust and Hardware-Efficient Malware Detection. | Emilien Meyer, Abu Kaisar Mohammad Masum, Mehran Shoushtari Moghadam, Lida Kouhalvandi, Gourav Datta, Sercan Aygun, M. Hassan Najafi |
| 2025 | WACV | MaskVD: Region Masking for Efficient Video Object Detection. | Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel |
| 2024 | DAC | 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 |
| 2024 | ICASSP | Training Ultra-Low-Latency Spiking Neural Networks from Scratch. | Gourav Datta, Zeyu Liu, Peter A. Beerel |
| 2024 | ICLR | Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? | Gourav Datta, Zeyu Liu, Peter Anthony Beerel |
| 2024 | ICLR | LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. | Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel |
| 2024 | ICPR | FixPix: Fixing Bad Pixels using Deep Learning. | Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel |
| 2023 | ICASSP | In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. | Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2023 | IJCAI | Listening Style-Aware Dyadic Facial Motion Generation. | Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal |
| 2023 | ISCAS | ViTA: A Vision Transformer Inference Accelerator for Edge Applications. | Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel |
| 2023 | ISLPED | Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. | Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel |
| 2023 | WACV | Self-Attentive Pooling for Efficient Deep Learning. | Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel |
| 2023 | WACV | Enabling ISPless Low-Power Computer Vision. | Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2022 | DATE | Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? | Gourav Datta, Peter A. Beerel |
| 2022 | ECCV | Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. | Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2022 | ICASSP | Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. | Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang |
| 2021 | IJCNN | Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. | Gourav Datta, Souvik Kundu, Peter A. Beerel |
| 2021 | WACV | Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression. | Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel |
| 2020 | ISCAS | Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. | Gourav Datta, Peter A. Beerel |