Slicegpt: Compress large language models by deleting rows and columns S Ashkboos, ML Croci, MG Nascimento, T Hoefler, J Hensman arXiv preprint arXiv:2401.15024, 2024 | 23 | 2024 |
Data assimilation using heteroscedastic Bayesian neural network ensembles for reduced-order flame models ML Croci, U Sengupta, MP Juniper International Conference on Computational Science, 408-419, 2021 | 9 | 2021 |
Quarot: Outlier-free 4-bit inference in rotated llms S Ashkboos, A Mohtashami, ML Croci, B Li, M Jaggi, D Alistarh, T Hoefler, ... arXiv preprint arXiv:2404.00456, 2024 | 6 | 2024 |
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles U Sengupta, ML Croci, MP Juniper arXiv preprint arXiv:2011.02838, 2020 | 5 | 2020 |
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles ML Croci, U Sengupta, MP Juniper arXiv preprint arXiv:2104.13201, 2021 | 4 | 2021 |
Bayesian inference in physics-based nonlinear flame models ML Croci, U Sengupta, MP Juniper NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 3 | 2021 |
Real-time parameter inference of nonlinear bluff-body-stabilized flame models using Bayesian neural network ensembles ML Croci, U Sengupta, E Ekici, MP Juniper Turbo Expo: Power for Land, Sea, and Air 86953, V03AT04A028, 2023 | 1 | 2023 |
Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability ML Croci, JV Vasanth, U Sengupta, E Ekici, MP Juniper NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 1 | 2022 |
Data assimilation into physics-based thermoacoustic models using Bayesian neural network ensembles ML Croci | | 2023 |
Bayesian Neural Networks for Assimilation of Experimental Data into a G-equation Flame Model M Croci, U Sengupta, M Juniper APS Division of Fluid Dynamics Meeting Abstracts, P04. 004, 2020 | | 2020 |