ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.13878
  4. Cited By
Deep Explicit Duration Switching Models for Time Series

Deep Explicit Duration Switching Models for Time Series

26 October 2021
Abdul Fatir Ansari
Konstantinos Benidis
Richard Kurle
Ali Caner Turkmen
Harold Soh
Alex Smola
Yuyang Wang
Tim Januschowski
    BDL
ArXivPDFHTML

Papers citing "Deep Explicit Duration Switching Models for Time Series"

14 / 14 papers shown
Title
Continuous Locomotive Crowd Behavior Generation
Continuous Locomotive Crowd Behavior Generation
Inhwan Bae
Junoh Lee
Hae-Gon Jeon
31
0
0
07 Apr 2025
Bayesian Inference in Recurrent Explicit Duration Switching Linear
  Dynamical Systems
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
Mikołaj Słupiński
Piotr Lipiński
BDL
14
0
0
06 Nov 2024
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks
  Simulators
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators
Sheng Yang
Fengge Wu
Junsuo Zhao
AI4CE
23
0
0
04 Oct 2024
Amortized Equation Discovery in Hybrid Dynamical Systems
Amortized Equation Discovery in Hybrid Dynamical Systems
Yongtuo Liu
Sara Magliacane
Miltiadis Kofinas
E. Gavves
23
2
0
06 Jun 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong
Sekwang Oh
Jaesik Choi
AI4TS
47
0
0
06 Jun 2024
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren
Tianxiang Zhao
Wei Qin
Kunpeng Liu
TTA
AI4TS
21
5
0
05 Sep 2023
Graph Switching Dynamical Systems
Graph Switching Dynamical Systems
Yongtuo Liu
Sara Magliacane
Miltiadis Kofinas
E. Gavves
52
7
0
01 Jun 2023
On the Identifiability of Switching Dynamical Systems
On the Identifiability of Switching Dynamical Systems
Carles Balsells-Rodas
Yixin Wang
Yingzhen Li
32
4
0
25 May 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled
  Time Series
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari
Alvin Heng
Andre Lim
Harold Soh
BDL
AI4TS
30
15
0
26 Jan 2023
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho
Daejin Kim
Dongmin Kim
Mohammad Azam Khan
Jaegul Choo
AI4TS
28
3
0
25 Oct 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
Siqi Liu
Andreas M. Lehrmann
BDL
AI4TS
23
2
0
17 Sep 2022
Learning Mixtures of Linear Dynamical Systems
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen
H. Vincent Poor
20
17
0
26 Jan 2022
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
25
176
0
21 Apr 2020
Recurrent switching linear dynamical systems
Recurrent switching linear dynamical systems
Scott W. Linderman
Andrew C. Miller
Ryan P. Adams
David M. Blei
Liam Paninski
Matthew J. Johnson
36
69
0
26 Oct 2016
1