U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. - Teddy Koker; Fatemehsadat Mireshghallah; Tom Titcombe; Georgios Kaissis (ICIP, 2021)

AAVAE: Augmentation-Augmented Variational Autoencoders. - William Falcon; Ananya Harsh Jha; Teddy Koker; Kyunghyun Cho (CoRR, 2021)

Graph Contrastive Learning for Materials. - Teddy Koker; Keegan Quigley; Will Spaeth; Nathan C. Frey; Lin Li (CoRR, 2022)

TorchMetrics - Measuring Reproducibility in PyTorch. - Nicki Skafte Detlefsen; Jirí Borovec; Justus Schock; Ananya Harsh Jha; Teddy Koker; Luca Di Liello; Daniel Stancl; Changsheng Quan; Maxim Grechkin; William Falcon (J. Open Source Softw., 2022)

Domain Adaptation for Time Series Under Feature and Label Shifts. - Huan He; Owen Queen; Teddy Koker; Consuelo Cuevas; Theodoros Tsiligkaridis; Marinka Zitnik (ICML, 2023)

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. - Owen Queen; Tom Hartvigsen; Teddy Koker; Huan He; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2023)

Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials. - Teddy Koker; Keegan Quigley; Eric Taw; Kevin Tibbetts; Lin Li (CoRR, 2023)

UniTS: A Unified Multi-Task Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Tom Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2024)

UniTS: Building a Unified Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Thomas Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (CoRR, 2024)

Early adverse physiological event detection using commercial wearables: challenges and opportunities. - Jesse F. Phipps; Bryant Passage; Kaan Sel; Jonathan Martinez; Milad Saadat; Teddy Koker; Natalie Damaso; Shakti Davis; Jeffrey Palmer; Kajal T. Claypool; Christopher Kiley; Roderic I. Pettigrew; et al. (npj Digit. Medicine, 2024)