Variational Inference and Learning of Piecewise-linear Dynamical Systems

2 June 2020

Papers citing "Variational Inference and Learning of Piecewise-linear Dynamical Systems"

7 / 7 papers shown

Title
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner Christoph Jurgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 38 1 0 18 Oct 2024
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions Krishan Mohan Nagpal 29 0 0 12 Sep 2024
Adaptive time series forecasting with markovian variance switching Baptiste Abéles Joseph de Vilmarest Olivier Wintemberger AI4TS 19 1 0 22 Feb 2024
A Competitive Learning Approach for Specialized Models: A Solution for Complex Physical Systems with Distinct Functional Regimes Okezzi Ukorigho Opeoluwa Owoyele 14 0 0 19 Jul 2023
Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning G. Pulford 20 0 0 31 May 2022
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting Udai G. Nagpal K. Nagpal 9 1 0 02 May 2022
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction Dan Xu Xavier Alameda-Pineda Wanli Ouyang Elisa Ricci Xiaogang Wang N. Sebe 36 23 0 08 Jan 2021