Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Uddandarao, Dharmateja Priyadarshi, Vadlamani, Ravi Kiran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A novel k-means clustering approach using two distance measures for Gaussian data
by: Gada, Naitik
Published: (2025)
by: Gada, Naitik
Published: (2025)
Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows
by: Duma, Zina-Sabrina, et al.
Published: (2024)
by: Duma, Zina-Sabrina, et al.
Published: (2024)
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
by: Rajendran, Goutham, et al.
Published: (2023)
by: Rajendran, Goutham, et al.
Published: (2023)
Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization
by: Tarek, Mohamed, et al.
Published: (2026)
by: Tarek, Mohamed, et al.
Published: (2026)
A note on the area under the likelihood and the fake evidence for model selection
by: Martino, L., et al.
Published: (2026)
by: Martino, L., et al.
Published: (2026)
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
by: De Rosa, Pasquale, et al.
Published: (2024)
by: De Rosa, Pasquale, et al.
Published: (2024)
LETS-C: Leveraging Text Embedding for Time Series Classification
by: Kaur, Rachneet, et al.
Published: (2024)
by: Kaur, Rachneet, et al.
Published: (2024)
Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining
by: Zhang, Xu-Lu, et al.
Published: (2025)
by: Zhang, Xu-Lu, et al.
Published: (2025)
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025)
by: Wan, Shu, et al.
Published: (2025)
CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median
by: Banerjee, Imon, et al.
Published: (2025)
by: Banerjee, Imon, et al.
Published: (2025)
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
by: Proszewska, Magdalena, et al.
Published: (2025)
by: Proszewska, Magdalena, et al.
Published: (2025)
Information-based Preprocessing of PLC Data for Automatic Behavior Modeling
by: Sai, Brandon K., et al.
Published: (2023)
by: Sai, Brandon K., et al.
Published: (2023)
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)
by: Peik, Arash, et al.
Published: (2024)
ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)
by: Jia, Yuanzhe, et al.
Published: (2023)
Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series
by: Morandi, Andrea
Published: (2026)
by: Morandi, Andrea
Published: (2026)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
Root Finding and Metamodeling for Rapid and Robust Computer Model Calibration
by: Jeon, Yongseok, et al.
Published: (2026)
by: Jeon, Yongseok, et al.
Published: (2026)
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)
by: Raut, Riddhiman, et al.
Published: (2024)
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)
by: Din, Riaz Ud, et al.
Published: (2024)
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design
by: Hu, Xiuyuan, et al.
Published: (2025)
by: Hu, Xiuyuan, et al.
Published: (2025)
Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders
by: Zola, Francesco, et al.
Published: (2026)
by: Zola, Francesco, et al.
Published: (2026)
Estimating the Unobservable Components of Electricity Demand Response with Inverse Optimization
by: Esteban-Perez, Adrian, et al.
Published: (2024)
by: Esteban-Perez, Adrian, et al.
Published: (2024)
Exact nonlinear state estimation
by: Chipilski, Hristo G.
Published: (2023)
by: Chipilski, Hristo G.
Published: (2023)
Generative modeling of granular flow on inclined planes using conditional flow matching
by: Li, Xuyang, et al.
Published: (2026)
by: Li, Xuyang, et al.
Published: (2026)
Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
by: Bagheri, Abdolmahdi, et al.
Published: (2023)
by: Bagheri, Abdolmahdi, et al.
Published: (2023)
Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
by: Zhao, Jinpai, et al.
Published: (2025)
by: Zhao, Jinpai, et al.
Published: (2025)
Forecasting VIX using interpretable Kolmogorov-Arnold networks
by: Cho, So-Yoon, et al.
Published: (2025)
by: Cho, So-Yoon, et al.
Published: (2025)
Target-aware Bayesian inference via generalized thermodynamic integration
by: Llorente, F., et al.
Published: (2025)
by: Llorente, F., et al.
Published: (2025)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Block-diagonal idiosyncratic covariance estimation in high-dimensional factor models for financial time series
by: Žignić, Lucija, et al.
Published: (2024)
by: Žignić, Lucija, et al.
Published: (2024)
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
by: Wehner, Christoph, et al.
Published: (2024)
by: Wehner, Christoph, et al.
Published: (2024)
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
by: Comlek, Yigitcan, et al.
Published: (2024)
by: Comlek, Yigitcan, et al.
Published: (2024)
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
by: Schaller, Melanie, et al.
Published: (2024)
by: Schaller, Melanie, et al.
Published: (2024)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Graph Multi-Similarity Learning for Molecular Property Prediction
by: Xu, Hao, et al.
Published: (2024)
by: Xu, Hao, et al.
Published: (2024)
Similar Items
-
A novel k-means clustering approach using two distance measures for Gaussian data
by: Gada, Naitik
Published: (2025) -
Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows
by: Duma, Zina-Sabrina, et al.
Published: (2024) -
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
by: Immordino, Gabriele, et al.
Published: (2024) -
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
by: Rajendran, Goutham, et al.
Published: (2023) -
Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization
by: Tarek, Mohamed, et al.
Published: (2026)