Teddy Koker

15 papers A* 3B 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials.
CoRR
Teddy Koker, Abhijeet Gangan, Mit Kotak, Jaime Marian, Tess E. Smidt
2025 J jnl
Training a Foundation Model for Materials on a Budget.
CoRR
Teddy Koker, Tess E. Smidt
2024 J jnl
Early adverse physiological event detection using commercial wearables: challenges and opportunities.
npj Digit. Medicine
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
2024 A* conf
UniTS: A Unified Multi-Task Time Series Model.
NeurIPS
Shanghua Gao, Teddy Koker, Owen Queen, Tom Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
2024 J jnl
UniTS: Building a Unified Time Series Model.
CoRR
Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
2023 A* conf
Domain Adaptation for Time Series Under Feature and Label Shifts.
ICML
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
2023 J jnl
Domain Adaptation for Time Series Under Feature and Label Shifts.
CoRR
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
2023 A* conf
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.
NeurIPS
Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
2023 J jnl
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.
CoRR
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
2023 J jnl
Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials.
CoRR
Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li
2022 J jnl
Graph Contrastive Learning for Materials.
CoRR
Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li
2022 J jnl
TorchMetrics - Measuring Reproducibility in PyTorch.
J. Open Source Softw.
Nicki Skafte Detlefsen, Jirí Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon
2021 J jnl
AAVAE: Augmentation-Augmented Variational Autoencoders.
CoRR
William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho
2021 B conf
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation.
ICIP
Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis
2021 J jnl
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation.
CoRR
Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis