Jul 11, 2021 · Through experiments on three financial tasks: stock trading, equity price movement prediction, and financial risk prediction, we demonstrate ...
Jul 15, 2021 · Such temporal streams of information show power-law dynamics, scale-free characteris- tics, and time irregularities that sequential models are ...
This repository contains the code for Hyperbolic Online Time Stream Modeling accepted at SIGIR 2021 and implements the hyperbolic time aware LSTM as well as ...
Jul 11, 2024 · The model describes instationary stream velocity profiles subjected to tidal conditions together with the resulting mass transport including ...
May 22, 2022 · Hyperbolic Time Aware Temporal Network. To encode the varying scale-free characteristics of text sequences, we introduce LSTMs over learnable.
Hyperbolic unites global compute to provide accessible, affordable, and scalable GPU resources and AI services. Start in seconds, and keep running.
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Hyperbolic online time stream modeling. R Sawhney, S Agarwal, M Thakkar, A Wadhwa, RR Shah. Proceedings of the 44th International ACM SIGIR conference on ...
Dec 8, 2023 · In the field of machine learning, researchers have proposed graph embedding models with hyperbolic geometry, reporting superior per- formances ...
May 14, 2022 · For hyperbolic data, the Poincaré ball model is one of the most popular models among several isometrically equivalent models for representing ...
Geometric representation learning (e.g., hyperbolic and spherical geometry) has proven to be efficacious in solving many intricate machine learning tasks.