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Teddy Koker
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2020 – today
- 2024
- [j2]Jesse F. Phipps, Bryant Passage
, Kaan Sel
Early adverse physiological event detection using commercial wearables: challenges and opportunities. npj Digit. Medicine 7(1) (2024) - [i7]Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik:
UniTS: Building a Unified Time Series Model. CoRR abs/2403.00131 (2024) - 2023
- [c3]Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. ICML 2023: 12746-12774 - [c2]Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. NeurIPS 2023 - [i6]Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik:
Domain Adaptation for Time Series Under Feature and Label Shifts. CoRR abs/2302.03133 (2023) - [i5]Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik:
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. CoRR abs/2306.02109 (2023) - [i4]Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li:
Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials. CoRR abs/2312.05388 (2023) - 2022
- [j1]Nicki Skafte Detlefsen
TorchMetrics - Measuring Reproducibility in PyTorch. J. Open Source Softw. 7(69): 4101 (2022) - [i3]Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li:
Graph Contrastive Learning for Materials. CoRR abs/2211.13408 (2022) - 2021
- [c1]Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis:
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. ICIP 2021: 394-398 - [i2]Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis:
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. CoRR abs/2101.05791 (2021) - [i1]William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho:
AAVAE: Augmentation-Augmented Variational Autoencoders. CoRR abs/2107.12329 (2021)
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last updated on 2024-09-10 01:17 CEST by the dblp team
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