Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Fuente:
arXiv
Saved in:
| Main Authors: | Koochali, Alireza, Walch, Maria, Thota, Sankrutyayan, Schichtel, Peter, Dengel, Andreas, Ahmed, Sheraz |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
by: Koochali, Alireza, et al.
Published: (2024)
by: Koochali, Alireza, et al.
Published: (2024)
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023)
by: Mercier, Dominique, et al.
Published: (2023)
FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
by: Mercier, Dominique, et al.
Published: (2025)
by: Mercier, Dominique, et al.
Published: (2025)
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
by: Varshney, Payal, et al.
Published: (2024)
by: Varshney, Payal, et al.
Published: (2024)
LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
Privacy Meets Explainability: A Comprehensive Impact Benchmark
by: Saifullah, Saifullah, et al.
Published: (2022)
by: Saifullah, Saifullah, et al.
Published: (2022)
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
by: Miranda, Miro, et al.
Published: (2025)
by: Miranda, Miro, et al.
Published: (2025)
E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability
by: Aslam, Hasib, et al.
Published: (2026)
by: Aslam, Hasib, et al.
Published: (2026)
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
by: Herurkar, Dayananda, et al.
Published: (2025)
by: Herurkar, Dayananda, et al.
Published: (2025)
Cross-Domain Conditional Diffusion Models for Time Series Imputation
by: Zhang, Kexin, et al.
Published: (2025)
by: Zhang, Kexin, et al.
Published: (2025)
Torsion in Persistent Homology and Neural Networks
by: Walch, Maria
Published: (2025)
by: Walch, Maria
Published: (2025)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)
by: Yang, Yanfeng, et al.
Published: (2025)
Time Weaver: A Conditional Time Series Generation Model
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
by: Thota, Vamsikrishna, et al.
Published: (2025)
by: Thota, Vamsikrishna, et al.
Published: (2025)
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
by: Mena, Francisco, et al.
Published: (2025)
by: Mena, Francisco, et al.
Published: (2025)
Can Multitask Learning Enhance Model Explainability?
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Conditional Sig-Wasserstein GANs for Time Series Generation
by: Liao, Shujian, et al.
Published: (2020)
by: Liao, Shujian, et al.
Published: (2020)
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models
by: Shankar, Aditya, et al.
Published: (2025)
by: Shankar, Aditya, et al.
Published: (2025)
DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
by: Saifullah, Saifullah, et al.
Published: (2025)
by: Saifullah, Saifullah, et al.
Published: (2025)
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)
by: Huang, Yu-Hao, et al.
Published: (2025)
Towards Time Series Generation Conditioned on Unstructured Natural Language
by: Woo, Jaeyun, et al.
Published: (2025)
by: Woo, Jaeyun, et al.
Published: (2025)
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
by: Li, Zhengnan, et al.
Published: (2024)
by: Li, Zhengnan, et al.
Published: (2024)
DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
by: Lamott, Marcel, et al.
Published: (2026)
by: Lamott, Marcel, et al.
Published: (2026)
Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction
by: Yahia, Hana, et al.
Published: (2026)
by: Yahia, Hana, et al.
Published: (2026)
Rethinking Time Series Domain Generalization via Structure-Stratified Calibration
by: Li, Jinyang, et al.
Published: (2026)
by: Li, Jinyang, et al.
Published: (2026)
Class-Invariant Test-Time Augmentation for Domain Generalization
by: Lin, Zhicheng, et al.
Published: (2025)
by: Lin, Zhicheng, et al.
Published: (2025)
Deep Time Warping for Multiple Time Series Alignment
by: Nourbakhsh, Alireza, et al.
Published: (2025)
by: Nourbakhsh, Alireza, et al.
Published: (2025)
Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Series
by: He, Junyang, et al.
Published: (2024)
by: He, Junyang, et al.
Published: (2024)
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
by: Balada, Christoph, et al.
Published: (2022)
by: Balada, Christoph, et al.
Published: (2022)
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
by: Herurkar, Dayananda, et al.
Published: (2024)
by: Herurkar, Dayananda, et al.
Published: (2024)
Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models
by: Major, Noam, et al.
Published: (2026)
by: Major, Noam, et al.
Published: (2026)
TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
by: He, Hui, et al.
Published: (2026)
by: He, Hui, et al.
Published: (2026)
ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation
by: Lan, Shaocheng, et al.
Published: (2026)
by: Lan, Shaocheng, et al.
Published: (2026)
A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
by: Saha, Anish, et al.
Published: (2026)
by: Saha, Anish, et al.
Published: (2026)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
by: Najjar, Hiba, et al.
Published: (2024)
by: Najjar, Hiba, et al.
Published: (2024)
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
by: Wang, Zongbin, et al.
Published: (2024)
by: Wang, Zongbin, et al.
Published: (2024)
Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations
by: Aslanimoghanloo, Muhammad, et al.
Published: (2025)
by: Aslanimoghanloo, Muhammad, et al.
Published: (2025)
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
Similar Items
-
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
by: Koochali, Alireza, et al.
Published: (2024) -
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023) -
FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
by: Mercier, Dominique, et al.
Published: (2025) -
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
by: Varshney, Payal, et al.
Published: (2024) -
LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
by: Varshney, Payal, et al.
Published: (2025)