Sig-Wasserstein GANs for Time Series Generation

1 November 2021

Papers citing "Sig-Wasserstein GANs for Time Series Generation"

40 / 40 papers shown

Title
A synthetic dataset of French electric load curves with temperature conditioning Tahar Nabil Ghislain Agoua Pierre Cauchois Anne de Moliner B. Grossin 26 0 0 18 Apr 2025
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE Abdulmajid Murad Massimiliano Ruocco 19 0 0 12 Apr 2025
Time-Causal VAE: Robust Financial Time Series Generator Beatrice Acciaio Stephan Eckstein Songyan Hou AI4TS 30 2 0 05 Nov 2024
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions Jianxin Zhang Josh Viktorov Doosan Jung Emily Pitler DiffM 41 0 0 04 Oct 2024
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles Hanwen Zhang Dusit Niyato Wei Zhang Changyuan Zhao Hongyang Du Abbas Jamalipour Sumei Sun Yiyang Pei AI4CE 42 2 0 24 Sep 2024
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms Luis Roque Carlos Soares Luís Torgo AI4TS 20 1 0 06 Aug 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 49 5 0 16 Jul 2024
Universal randomised signatures for generative time series modelling Francesca Biagini Lukas Gonon Niklas Walter 40 4 0 14 Jun 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 44 0 0 27 May 2024
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition Lei Jiang Weixin Yang Xin Zhang Hao Ni 37 1 0 22 Mar 2024
Mean-Field Microcanonical Gradient Descent Marcus Häggbom Morten Karlsmark Joakim andén 19 0 0 13 Mar 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 38 4 0 06 Mar 2024
Risk factor aggregation and stress testing Natalie Packham 11 1 0 06 Oct 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 26 16 0 07 Sep 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth DiffM 11 35 0 04 Sep 2023
Generative Modelling of Lévy Area for High Order SDE Simulation Andravz Jelinvcivc Ji-cheng Tao William F. Turner Thomas Cass James Foster H. Ni DiffM 23 3 0 04 Aug 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Md Fahim Sikder R. Ramachandranpillai Fredrik Heintz DiffM 19 9 0 24 Jul 2023
Sig-Splines: universal approximation and convex calibration of time series generative models Magnus Wiese Phillip Murray R. Korn AI4TS 20 1 0 19 Jul 2023
Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures Zacharia Issa Blanka Horvath 29 4 0 27 Jun 2023
Global universal approximation of functional input maps on weighted spaces Christa Cuchiero Philipp Schmocker Josef Teichmann 16 21 0 05 Jun 2023
Non-adversarial training of Neural SDEs with signature kernel scores Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 33 24 0 25 May 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space Hang Lou Siran Li Hao Ni AI4TS 28 10 0 21 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 29 10 0 19 May 2023
Directed Chain Generative Adversarial Networks Ming Min Ruimeng Hu Tomoyuki Ichiba AI4TS AI4CE GAN 17 1 0 25 Apr 2023
Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric Pere Díaz Lozano Toni Lozano Bagén J. Vives GAN AI4TS 25 2 0 03 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 22 1 0 17 Nov 2022
Signature-based validation of real-world economic scenarios Hervé Andrès Alexandre Boumezoued B. Jourdain 21 5 0 02 Aug 2022
Deep Learning for Systemic Risk Measures Yichen Feng Ming Min J. Fouque 6 6 0 02 Jul 2022
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks Germán García-Jara P. Protopapas P. Estévez 11 16 0 13 May 2022
Learning the conditional law: signatures and conditional GANs in filtering and prediction of diffusion processes Fabian Germ Marc Sabate Vidales DiffM 18 0 0 01 Apr 2022
Risk-Neutral Market Simulation Magnus Wiese M. Phillip 15 2 0 28 Feb 2022
Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations Ziheng Wang Justin A. Sirignano 20 2 0 14 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 39 20 0 31 Jan 2022
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory Kohei Hayashi Kei Nakagawa AI4TS 19 8 0 16 Jan 2022
Multi-Asset Spot and Option Market Simulation Magnus Wiese Ben Wood Alexandre Pachoud R. Korn Hans Buehler Phillip Murray Lianjun Bai 11 21 0 13 Dec 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha Michael Bohlke-Schneider Pedro Mercado Shubham Kapoor Rajbir-Singh Nirwan Valentin Flunkert Jan Gasthaus Tim Januschowski AI4TS 17 45 0 02 Aug 2021
Monte Carlo Simulation of SDEs using GANs Jorino van Rhijn C. Oosterlee L. Grzelak Shuaiqiang Liu GAN AI4TS 17 8 0 03 Apr 2021
Time Series (re)sampling using Generative Adversarial Networks Christian Moller Dahl Emil N. Sørensen TTA AI4TS 16 6 0 30 Jan 2021
Conditional Sig-Wasserstein GANs for Time Series Generation Shujian Liao Hao Ni Lukasz Szpruch Magnus Wiese Marc Sabate Vidales Baoren Xiao GAN AI4TS 6 0 0 09 Jun 2020