20 Feb Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models
Linh Nguyen Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models M.Eng Thesis. Dept. of EECS, MIT. February 2025....
20 Feb Systems for Usable Machine Learning
Alexandra Zytek Systems for Usable Machine Learning Ph.D. Thesis. Dept. of EECS, MIT. February 2025....
11 Feb CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios
Michael Fuest, Alfredo Cuesta-Infante, Kalyan Veeramachaneni CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios Preprint. January 2025....
31 Jan Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers
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....
21 Jan Pyreal: A Framework for Interpretable ML Explanations
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni Pyreal: A Framework for Interpretable ML Explanations Preprint. December 2023....
21 Jan Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring
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....