Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles. - Ushnish Sengupta; Maximilian L. Croci; Matthew P. Juniper (CoRR, 2020)

Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models. - Maximilian L. Croci; Ushnish Sengupta; Matthew P. Juniper (ICCS (5), 2021)

Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles. - Maximilian L. Croci; Ushnish Sengupta; Matthew P. Juniper (CoRR, 2021)

SliceGPT: Compress Large Language Models by Deleting Rows and Columns. - Saleh Ashkboos; Maximilian L. Croci; Marcelo Gennari Do Nascimento; Torsten Hoefler; James Hensman (ICLR, 2024)

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs. - Saleh Ashkboos; Amirkeivan Mohtashami; Maximilian L. Croci; Bo Li; Pashmina Cameron; Martin Jaggi; Dan Alistarh; Torsten Hoefler; James Hensman (NeurIPS, 2024)

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs. - Saleh Ashkboos; Amirkeivan Mohtashami; Maximilian L. Croci; Bo Li; Martin Jaggi; Dan Alistarh; Torsten Hoefler; James Hensman (CoRR, 2024)

Pyramid Vector Quantization for LLMs. - Tycho F. A. van der Ouderaa; Maximilian L. Croci; Agrin Hilmkil; James Hensman (CoRR, 2024)