Strategy for texture management in metals additive manufacturing MM Kirka, Y Lee, DA Greeley, A Okello, MJ Goin, MT Pearce, RR Dehoff Jom 69, 523-531, 2017 | 171 | 2017 |
Inducing and exploiting activation sparsity for fast inference on deep neural networks M Kurtz, J Kopinsky, R Gelashvili, A Matveev, J Carr, M Goin, W Leiserson, ... International Conference on Machine Learning, 5533-5543, 2020 | 148 | 2020 |
The optimal bert surgeon: Scalable and accurate second-order pruning for large language models E Kurtic, D Campos, T Nguyen, E Frantar, M Kurtz, B Fineran, M Goin, ... arXiv preprint arXiv:2203.07259, 2022 | 85 | 2022 |
The TENNLab suite of LIDAR-based control applications for recurrent, spiking, neuromorphic systems J Plank, C Rizzo, K Shahat, G Bruer, T Dixon, M Goin, G Zhao, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019 | 22 | 2019 |
Sparse finetuning for inference acceleration of large language models E Kurtic, D Kuznedelev, E Frantar, M Goin, D Alistarh arXiv preprint arXiv:2310.06927, 2023 | 6 | 2023 |
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment A Agarwalla, A Gupta, A Marques, S Pandit, M Goin, E Kurtic, K Leong, ... arXiv preprint arXiv:2405.03594, 2024 | 1 | 2024 |