Teddy Koker

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Multimedia Event Detection

Domain Adaptation

Framework For Image Segmentation

Manifold Alignment

Top Venues

npj Digit. Medicine

Publications

Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
UniTS: Building a Unified Time Series Model. CoRR (2024)
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, Roozbeh Jafari
Early adverse physiological event detection using commercial wearables: challenges and opportunities. npj Digit. Medicine 7 (1) (2024)
Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li
Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials. CoRR (2023)
Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS (2023)
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR (2023)
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR (2023)
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
Domain Adaptation for Time Series Under Feature and Label Shifts. ICML (2023)
Nicki Skafte Detlefsen, Jirí Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon
TorchMetrics - Measuring Reproducibility in PyTorch. J. Open Source Softw. 7 (69) (2022)
Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li
Graph Contrastive Learning for Materials. CoRR (2022)
Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. ICIP (2021)
Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. CoRR (2021)
William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho
AAVAE: Augmentation-Augmented Variational Autoencoders. CoRR (2021)