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Found 5 papers, 3 papers with code
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
We introduce QuaRot, a new Quantization scheme based on Rotations, which is able to quantize LLMs end-to-end, including all weights, activations, and KV cache in 4 bits.
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Large language models have become the cornerstone of natural language processing, but their use comes with substantial costs in terms of compute and memory resources.
Bayesian Inference in Physics-Based Nonlinear Flame Models
The ensemble learns a surrogate of the approximate Bayesian posterior of the parameters given the observations, from which the flame can be re-simulated beyond the observation window of the experiment.
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
Heteroscedastic Bayesian neural network ensembles are trained on a library of 1. 7 million flame fronts simulated in LSGEN2D, a G-equation solver, to learn the Bayesian posterior distribution of the model parameters given observations.
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles
The trained neural networks are then used to infer model parameters from real videos of a premixed Bunsen flame captured using a high-speed camera in our lab.
