Adversarial Causal Tuning for Realistic Time-series Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Gkorgkolis, Nikolaos, Kougioulis, Nikolaos, Wang, MingXue, Caglayan, Bora, Tonon, Andrea, Simionato, Dario, Tsamardinos, Ioannis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Causal Models for Temporal Causal Discovery
by: Kougioulis, Nikolaos, et al.
Published: (2026)
by: Kougioulis, Nikolaos, et al.
Published: (2026)
A Comparative Analysis of Influence Signals for Data Debugging
by: Myrtakis, Nikolaos, et al.
Published: (2025)
by: Myrtakis, Nikolaos, et al.
Published: (2025)
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
by: Tonon, Andrea, et al.
Published: (2025)
by: Tonon, Andrea, et al.
Published: (2025)
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations
by: Tonon, Andrea, et al.
Published: (2024)
by: Tonon, Andrea, et al.
Published: (2024)
Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
by: Simionato, Dario, et al.
Published: (2026)
by: Simionato, Dario, et al.
Published: (2026)
Towards Automated Causal Discovery: a case study on 5G telecommunication data
by: Biza, Konstantina, et al.
Published: (2024)
by: Biza, Konstantina, et al.
Published: (2024)
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
by: Paraschakis, Konstantinos, et al.
Published: (2024)
by: Paraschakis, Konstantinos, et al.
Published: (2024)
A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
by: Paterakis, George, et al.
Published: (2025)
by: Paterakis, George, et al.
Published: (2025)
The Price of Implicit Bias in Adversarially Robust Generalization
by: Tsilivis, Nikolaos, et al.
Published: (2024)
by: Tsilivis, Nikolaos, et al.
Published: (2024)
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML
by: Borboudakis, Giorgos, et al.
Published: (2023)
by: Borboudakis, Giorgos, et al.
Published: (2023)
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets
by: Mylonas, Nikolaos, et al.
Published: (2024)
by: Mylonas, Nikolaos, et al.
Published: (2024)
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
by: Karouzos, Constantinos, et al.
Published: (2026)
by: Karouzos, Constantinos, et al.
Published: (2026)
Machine Learning for Static and Single-Event Dynamic Complex Network Analysis
by: Nakis, Nikolaos
Published: (2025)
by: Nakis, Nikolaos
Published: (2025)
Autonomous Reality Modelling for Cultural Heritage Sites employing cooperative quadrupedal robots and unmanned aerial vehicles
by: Giakoumidis, Nikolaos, et al.
Published: (2024)
by: Giakoumidis, Nikolaos, et al.
Published: (2024)
LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)
by: Rollinson, Nik, et al.
Published: (2025)
grangersearch: An R Package for Exhaustive Granger Causality Testing with Tidyverse Integration
by: Korfiatis, Nikolaos
Published: (2026)
by: Korfiatis, Nikolaos
Published: (2026)
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
by: Vilucchio, Matteo, et al.
Published: (2024)
by: Vilucchio, Matteo, et al.
Published: (2024)
Reducing Street Parking Search Time via Smart Assignment Strategies
by: Hemmatpour, Behafarid, et al.
Published: (2025)
by: Hemmatpour, Behafarid, et al.
Published: (2025)
Wildfire spread forecasting with Deep Learning
by: Anastasiou, Nikolaos, et al.
Published: (2025)
by: Anastasiou, Nikolaos, et al.
Published: (2025)
Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
by: Castellani, Andrea, et al.
Published: (2025)
by: Castellani, Andrea, et al.
Published: (2025)
Hide and Seek: Investigating Redundancy in Earth Observation Imagery
by: Papazafeiropoulos, Tasos, et al.
Published: (2026)
by: Papazafeiropoulos, Tasos, et al.
Published: (2026)
Causal Machine Learning in IoT-based Engineering Problems: A Tool Comparison in the Case of Household Energy Consumption
by: Kosioris, Nikolaos-Lysias, et al.
Published: (2025)
by: Kosioris, Nikolaos-Lysias, et al.
Published: (2025)
ML Inference Scheduling with Predictable Latency
by: Zhao, Haidong, et al.
Published: (2025)
by: Zhao, Haidong, et al.
Published: (2025)
Strait: Perceiving Priority and Interference in ML Inference Serving
by: Zhao, Haidong, et al.
Published: (2026)
by: Zhao, Haidong, et al.
Published: (2026)
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
by: Xue, Huiyin, et al.
Published: (2025)
by: Xue, Huiyin, et al.
Published: (2025)
Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study
by: Evangelou, Nikolaos, et al.
Published: (2024)
by: Evangelou, Nikolaos, et al.
Published: (2024)
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation
by: Azimi, Azizjon, et al.
Published: (2024)
by: Azimi, Azizjon, et al.
Published: (2024)
Prediction-Powered Adaptive Shrinkage Estimation
by: Li, Sida, et al.
Published: (2025)
by: Li, Sida, et al.
Published: (2025)
On the Generalization of Representation Uncertainty in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)
by: Kondylatos, Spyros, et al.
Published: (2025)
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
by: Giovanis, Dimitris G, et al.
Published: (2025)
by: Giovanis, Dimitris G, et al.
Published: (2025)
On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators
by: Frkatovic, Jasmin, et al.
Published: (2025)
by: Frkatovic, Jasmin, et al.
Published: (2025)
Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)
by: Kondylatos, Spyros, et al.
Published: (2025)
Self-Generative Adversarial Fine-Tuning for Large Language Models
by: Wu, Shiguang, et al.
Published: (2026)
by: Wu, Shiguang, et al.
Published: (2026)
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
by: Koursioumpas, Nikolaos, et al.
Published: (2023)
by: Koursioumpas, Nikolaos, et al.
Published: (2023)
Computation-aware Energy-harvesting Federated Learning: Cyclic Scheduling with Selective Participation
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
FedQV: Leveraging Quadratic Voting in Federated Learning
by: Chu, Tianyue, et al.
Published: (2024)
by: Chu, Tianyue, et al.
Published: (2024)
Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
by: Stevens, Alexander, et al.
Published: (2024)
by: Stevens, Alexander, et al.
Published: (2024)
$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery
by: Göbler, Konstantin, et al.
Published: (2023)
by: Göbler, Konstantin, et al.
Published: (2023)
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
by: Su, Yongyi, et al.
Published: (2024)
by: Su, Yongyi, et al.
Published: (2024)
Similar Items
-
Large Causal Models for Temporal Causal Discovery
by: Kougioulis, Nikolaos, et al.
Published: (2026) -
A Comparative Analysis of Influence Signals for Data Debugging
by: Myrtakis, Nikolaos, et al.
Published: (2025) -
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
by: Tonon, Andrea, et al.
Published: (2025) -
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations
by: Tonon, Andrea, et al.
Published: (2024) -
Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
by: Simionato, Dario, et al.
Published: (2026)