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Maximilian Croci
Maximilian Croci
Postdoctoral researcher, Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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
132024
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
92021
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
52020
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
42021
Bayesian inference in physics-based nonlinear flame models
ML Croci, U Sengupta, MP Juniper
NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
22021
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
12023
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
12022
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
2024
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
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