Latent Neural ODEs with Sparse Bayesian Multiple Shooting

Latent Neural ODEs with Sparse Bayesian Multiple Shooting

7 October 2022

Çağatay Yıldız

Markus Heinonen

Harri Lähdesmäki

Papers citing "Latent Neural ODEs with Sparse Bayesian Multiple Shooting"

13 / 13 papers shown

Title
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 41 0 0 08 Oct 2024
Sampling-Free Probabilistic Deep State-Space Models Andreas Look M. Kandemir Barbara Rakitsch Jan Peters 8 2 0 15 Sep 2023
Learning Space-Time Continuous Neural PDEs from Partially Observed States V. Iakovlev Markus Heinonen Harri Lähdesmäki 14 1 0 09 Jul 2023
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers Kai Lagemann C. Lagemann Swarnava Mukherjee 34 2 0 21 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs Ori Linial Orly Avner Dotan Di Castro 41 0 0 28 Mar 2023
Modulated Neural ODEs I. Auzina Çağatay Yıldız Sara Magliacane Matthias Bethge E. Gavves 30 5 0 26 Feb 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 18 9 0 15 Dec 2022
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series Futoon M. Abushaqra Hao Xue Yongli Ren Flora D. Salim AI4TS 26 2 0 07 Dec 2022
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods G. Köber R. Kalisch Lara Puhlmann A. Chmitorz Anita Schick Harald Binder 21 1 0 15 Feb 2022
Multiple shooting for training neural differential equations on time series Evren Mert Turan J. Jäschke AI4TS 40 23 0 14 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 250 695 0 27 Aug 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 108 184 0 25 Jan 2021
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018