Teddy Koker
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Machine Learning in Materials Science, Explainable Artificial Intelligence (XAI), Topic Modeling, Advanced Thermoelectric Materials and Devices
Most-Cited Works
- → TorchMetrics - Measuring Reproducibility in PyTorch(2022)161 cited
- → UniTS: A Unified Multi-Task Time Series Model(2024)23 cited
- → Domain Adaptation for Time Series Under Feature and Label Shifts(2023)17 cited
- → Designing Retrieval-Augmented Language Models for Clinical Decision Support(2024)6 cited
- AAVAE: Augmentation-Augmented Variational Autoencoders.(2021)
- → Graph Contrastive Learning for Materials(2022)3 cited
- → U-Noise: Learnable Noise Masks for Interpretable Image Segmentation(2021)2 cited
- → Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency(2023)1 cited
- → Nequix MP 1 PFT Matchbench discovery predictions.(2026)