Teddy Koker

According to our database, Teddy Koker authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials.

Teddy Koker, Abhijeet Gangan, Mit Kotak, Jaime Marian, Tess E. Smidt

CoRR, January, 2026

2025

Training a Foundation Model for Materials on a Budget.

Teddy Koker, Tess E. Smidt

CoRR, August, 2025

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, Roozbeh Jafari

npj Digit. Medicine, 2024

UniTS: Building a Unified Time Series Model.

Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

CoRR, 2024

UniTS: A Unified Multi-Task Time Series Model.

Shanghua Gao, Teddy Koker, Owen Queen, Tom Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials.

Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li

CoRR, 2023

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.

Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain Adaptation for Time Series Under Feature and Label Shifts.

Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik

Proceedings of the International Conference on Machine Learning, 2023

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

Graph Contrastive Learning for Materials.

Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li

CoRR, 2022

2021

AAVAE: Augmentation-Augmented Variational Autoencoders.

William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho

CoRR, 2021

U-Noise: Learnable Noise Masks for Interpretable Image Segmentation.

Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021