Co-occurring keywords · papers mentioning both
Papers
ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations
ACL 2025
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
AISTATS 2025
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
NeurIPS 2024
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
NeurIPS 2024
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
ICLR 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NeurIPS 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
NeurIPS 2024
Fast Regression for Structured Inputs
ICLR 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
ICML 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
ICML 2022
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
ICLR 2020
Learning Compressed Transforms with Low Displacement Rank
NeurIPS 2018
Orthogonal Random Features
NeurIPS 2016
Recycling Randomness with Structure for Sublinear time Kernel Expansions
ICML 2016
Structured Matrix Recovery via the Generalized Dantzig Selector
NeurIPS 2016
Fast Orthogonal Projection Based on Kronecker Product
ICCV 2015
Efficient Structured Matrix Rank Minimization
NeurIPS 2014