Summary of Riemannian Preconditioned Lora For Fine-tuning Foundation Models, by Fangzhao Zhang et al.
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Modelsby Fangzhao Zhang, Mert PilanciFirst submitted to arxiv on:…
Summary of Improving Diffusion Models For Inverse Problems Using Optimal Posterior Covariance, by Xinyu Peng et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covarianceby Xinyu Peng, Ziyang Zheng, Wenrui…
Summary of Large Language Model Agent For Hyper-parameter Optimization, by Siyi Liu et al.
Large Language Model Agent for Hyper-Parameter Optimizationby Siyi Liu, Chen Gao, Yong LiFirst submitted to…
Summary of Mapping the Multiverse Of Latent Representations, by Jeremy Wayland et al.
Mapping the Multiverse of Latent Representationsby Jeremy Wayland, Corinna Coupette, Bastian RieckFirst submitted to arxiv…
Summary of Robustly Overfitting Latents For Flexible Neural Image Compression, by Yura Perugachi-diaz et al.
Robustly overfitting latents for flexible neural image compressionby Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai BhulaiFirst submitted…
Summary of Effect Of Weight Quantization on Learning Models by Typical Case Analysis, By Shuhei Kashiwamura et al.
Effect of Weight Quantization on Learning Models by Typical Case Analysisby Shuhei Kashiwamura, Ayaka Sakata,…
Summary of Enhancing Gaussian Process Surrogates For Optimization and Posterior Approximation Via Random Exploration, by Hwanwoo Kim and Daniel Sanz-alonso
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Explorationby Hwanwoo Kim, Daniel…
Summary of Efficient Observation Time Window Segmentation For Administrative Data Machine Learning, by Musa Taib et al.
Efficient Observation Time Window Segmentation for Administrative Data Machine Learningby Musa Taib, Geoffrey G. MessierFirst…
Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Managementby Liqiang Cheng, Jun…
Summary of Prevalidated Ridge Regression Is a Highly-efficient Drop-in Replacement For Logistic Regression For High-dimensional Data, by Angus Dempster et al.
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional databy Angus…