Publications

An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data

Predicting Solar Energetic Particle Events with Time Series Shapelets

TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation

Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin

Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations

Pruning Strategies for Backdoor Defense in LLMs

Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification

Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization

CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation