Michael Fuest, Alfredo Cuesta-Infante, Kalyan Veeramachaneni CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios Preprint. January 2025....
Alexandra Zytek, Sara Pido, Sarah Alnegheimish, Laure Berti-Equille, Kalyan Veeramachaneni Explingo: Explaining AI Predictions using Large Language Models BigData-2024. In Proceedings of IEEE International Conference on Big Data, December 2024....
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, Kalyan Veeramachaneni Large Language Models Can be Zero-Shot Anomaly Detectors for Time Series? DSAA-2024. In Proceedings of IEEE International Conference on Data Science and Advanced Analytics (DSAA), October 2024....
Alexandra Zytek, Sara Pido, Kalyan Veeramachaneni LLMs for XAI: Future Directions for Explaining Explanations ACM CHI 2024, HCXAI. Workshop on Human-Centered Explainable AI, May 2024....
Lei Xu, Sarah Alnegheimish, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers Preprint. January 2024....
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni Pyreal: A Framework for Interpretable ML Explanations Preprint. December 2023....
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring NeurIPS XAI in Action. Workshop on XAI in Action: Past, Present, and Future Applications, December 2023....
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni AER: Auto-Encoder with Regression for Time Series Anomaly Detection BigData-2022. In Proceedings of IEEE International Conference on Big Data, December 2022. ...