| A competitive edge: Can FPGAs beat GPUs at DCNN inference acceleration in resource-limited edge computing applications? I Colbert, J Daly, K Kreutz-Delgado, S Das arXiv preprint arXiv:2102.00294, 2021 | 22 | 2021 |
| Learning Low-Precision Structured Subnetworks Using Joint Layerwise Channel Pruning and Uniform Quantization X Zhang, I Colbert, S Das Applied Sciences 12 (15), 7829, 2022 | 15* | 2022 |
| AX-DBN: An approximate computing framework for the design of low-power discriminative deep belief networks I Colbert, K Kreutz-Delgado, S Das 2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019 | 7 | 2019 |
| A2Q: Accumulator-aware quantization with guaranteed overflow avoidance I Colbert, A Pappalardo, J Petri-Koenig Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| An energy-efficient edge computing paradigm for convolution-based image upsampling I Colbert, K Kreutz-Delgado, S Das IEEE Access 9, 147967-147984, 2021 | 6 | 2021 |
| PT-MMD: A novel statistical framework for the evaluation of generative systems A Potapov, I Colbert, K Kreutz-Delgado, A Cloninger, S Das 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2219-2223, 2019 | 5 | 2019 |
| Machine learning-based technique for execution mode selection IC Colbert, MJ Bedy US Patent App. 16/584,750, 2021 | 4 | 2021 |
| Quantized neural networks for low-precision accumulation with guaranteed overflow avoidance I Colbert, A Pappalardo, J Petri-Koenig arXiv preprint arXiv:2301.13376, 2023 | 3 | 2023 |
| Generating GPU compiler heuristics using reinforcement learning I Colbert, J Daly, N Rubin arXiv preprint arXiv:2111.12055, 2021 | 3 | 2021 |
| A2Q+: Improving Accumulator-Aware Weight Quantization I Colbert, A Pappalardo, J Petri-Koenig, Y Umuroglu Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| Evaluating Navigation Behavior of Agents in Games using Non-Parametric Statistics I Colbert, M Saeedi 2022 IEEE Conference on Games (CoG), 544-547, 2022 | 2* | 2022 |
| Accumulator-Aware Post-Training Quantization I Colbert, F Grob, G Franco, J Zhang, R Saab arXiv preprint arXiv:2409.17092, 2024 | 1 | 2024 |
| Automated data-driven system to optimize overclocking IC Colbert, AS Duenas, SJ Fu, O Irshad, MH Mousazadeh, I Amer, ... US Patent App. 18/126,166, 2024 | | 2024 |
| Quantization-aware training with numerical overflow avoidance for neural networks IC Colbert, M Saeedi, AC Ramachandran, CK Ramasamy, G Sines, ... US Patent App. 18/065,393, 2024 | | 2024 |
| Systems and methods for generating remedy recommendations for power and performance issues within semiconductor software and hardware MH Mousazadeh, A Patel, G Sines, O Irshad, PJL Yu, Z Yan, IC Colbert US Patent 11,994,939, 2024 | | 2024 |
| Framework for compression-aware training of neural networks M Saeedi, IC Colbert, IMA Amer US Patent App. 17/949,082, 2024 | | 2024 |
| Shader source code performance prediction A Ben-Moshe, IC Colbert US Patent 11,868,759, 2024 | | 2024 |
| Detecting personal-space violations in artificial intelligence based non-player characters M Saeedi, IC Colbert, TD Perry, G Sines US Patent App. 17/709,904, 2023 | | 2023 |
| Quantifying the human-likeness of artificially intelligent agents using statistical methods and techniques IC Colbert, M Saeedi, G Sines, TD Perry US Patent App. 17/682,832, 2023 | | 2023 |
| End-to-End Inference Optimization for Deep Learning-based Image Upsampling Networks I Colbert University of California, San Diego, 2023 | | 2023 |
Srinjoy DasWest Virginia UniversityVerified email at mail.wvu.edu
