Brian Bartoldson
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The Generalization-Stability Tradeoff In Neural Network Pruning
BR Bartoldson, AS Morcos, A Barbu, G Erlebacher
Advances in Neural Information Processing Systems, 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
NEFTune: Noisy Embeddings Improve Instruction Finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
International Conference on Learning Representations, 2024
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
BR Bartoldson, B Kailkhura, D Blalock
Journal of Machine Learning Research, 2023
Enhancing the regularization effect of weight pruning in artificial neural networks
B Bartoldson, A Barbu, G Erlebacher
arXiv preprint arXiv:1805.01930, 2018
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
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling
H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash
arXiv preprint arXiv:2406.04273, 2024
Transformers Can Do Arithmetic with the Right Embeddings
S McLeish, A Bansal, A Stein, N Jain, J Kirchenbauer, BR Bartoldson, ...
arXiv preprint arXiv:2405.17399, 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
BR Bartoldson, J Diffenderfer, K Parasyris, B Kailkhura
International Conference on Machine Learning, 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, ...
International Conference on Machine Learning, 2024
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
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
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
BR Bartoldson, R Wang, BM Ng, PCN Nguyen, JE Cadena Pico, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
Deeper Fluids
PCN Nguyen, BR Bartoldson, BM Ng, DP Midemann, P Nguyen
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
Generalization Performance and Properties of Pruned Neural Networks
BR Bartoldson
The Florida State University, 2020
An Interpretable Multimodal Retrieval Tool
B Bartoldson, B Ng, B Chen
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