| The Generalization-Stability Tradeoff In Neural Network Pruning BR Bartoldson, AS Morcos, A Barbu, G Erlebacher Advances in Neural Information Processing Systems, 2020 | 82 | 2020 |
| A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness J Diffenderfer, BR Bartoldson, S Chaganti, J Zhang, B Kailkhura Advances in Neural Information Processing Systems, 2021 | 57 | 2021 |
| Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities BR Bartoldson, B Kailkhura, D Blalock Journal of Machine Learning Research, 2023 | 25 | 2023 |
| NEFTune: Noisy Embeddings Improve Instruction Finetuning N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ... International Conference on Learning Representations, 2024 | 22* | 2024 |
| Enhancing the regularization effect of weight pruning in artificial neural networks B Bartoldson, A Barbu, G Erlebacher arXiv preprint arXiv:1805.01930, 2018 | 5 | 2018 |
| Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies BR Bartoldson, J Diffenderfer, K Parasyris, B Kailkhura arXiv preprint arXiv:2404.09349, 2024 | | 2024 |
| Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression J Hong, J Duan, C Zhang, Z Li, C Xie, K Lieberman, J Diffenderfer, ... arXiv preprint arXiv:2403.15447, 2024 | | 2024 |
| Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics BR Bartoldson, Y Hu, A Saini, J Cadena, Y Fu, J Bao, Z Xu, B Ng, ... ICLR Workshop Physics4ML, 2023 | | 2023 |
| Framework for Optimization, Quantification of Uncertainty and Surrogates–Updated Capabilities B Paul, A Deshpande, MA Zamarripa-Perez, J Boverhof, P Sotorrio, ... National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2022 | | 2022 |
| Models Out of Line: A Fourier Lens on Distribution Shift Robustness S Fridovich-Keil, BR Bartoldson, J Diffenderfer, B Kailkhura, PT Bremer Advances in Neural Information Processing Systems, 2022 | | 2022 |
| Latent Space Simulation for Carbon Capture Design Optimization B Bartoldson, R Wang, Y Fu, D Widemann, S Nguyen, J Bao, Z Xu, B Ng Innovative Applications of Artificial Intelligence, 2022 | | 2022 |
| MeshGraphNets BR Bartoldson, R Wang, BM Ng, PCN Nguyen, JE Cadena Pico, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021 | | 2021 |
| Deeper Fluids PCN Nguyen, BR Bartoldson, BM Ng, DP Midemann, P Nguyen Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021 | | 2021 |
| Generalization Performance and Properties of Pruned Neural Networks BR Bartoldson The Florida State University, 2020 | | 2020 |
| An Interpretable Multimodal Retrieval Tool B Bartoldson, B Ng, B Chen | | 2018 |
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
