Jun 24, 2022 · A core component of S4 involves initializing the SSM state matrix to a particular matrix called a HiPPO matrix, which was empirically important ...
Jul 12, 2024 · This is accomplished by extending the HiPPO framework to demonstrate that continuous SSMs can approximate the derivative of any input signal.
Feb 1, 2023 · This paper investigates the problem of learning continuous-time dynamical systems using neural networks, and considers theoretical properties of the Structured ...
Jul 19, 2024 · The States Spaces Models are traditionally used in control theory to model a dynamic system via state variables.
S4 made HiPPO-based SSMs efficient by introducing a particular parameterization of A as a diagonal plus low-rank matrix (the DPLR parameterization). S4 made it ...
History of State Space Models (SSM) in 2022 - Hugging Face
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Apr 11, 2024 · Initializing an NPLR matrix with HiPPO significantly enhances performance. Thus, according to these experiments, the HiPPO matrix is essential ...
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Duration: 1:26:04
Posted: Jun 15, 2023
Posted: Jun 15, 2023
State space models (SSMs) have demonstrated state-of-the-art sequence modeling performance in some modalities, but underperform attention in language ...
Mar 29, 2023 · In this episode, we interview Dan Fu and Tri Dao, inventors of “Hungry Hungry Hippos” (aka “H3”). This language modeling architecture performs comparably to ...
This repository provides the official implementation of H3 from the following paper. Hungry Hungry Hippos: Towards Language Modeling with State Space Models