Brian Bartoldson
Cited by
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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
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
BR Bartoldson, B Kailkhura, D Blalock
Journal of Machine Learning Research, 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
Enhancing the regularization effect of weight pruning in artificial neural networks
B Bartoldson, A Barbu, G Erlebacher
arXiv preprint arXiv:1805.01930, 2018
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
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
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
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
BR Bartoldson, J Diffenderfer, K Parasyris, B Kailkhura
International Conference on Machine Learning, 2024
Framework for Optimization, Quantification of Uncertainty, and Surrogates–Updated Capabilities
FM Plugin
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 Laboratory (LLNL), Livermore, CA (United States), 2021
Deeper Fluids
PCN Nguyen, BR Bartoldson, BM Ng, DP Midemann, P Nguyen
Lawrence Livermore National Laboratory (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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