| TorchMetrics - Measuring Reproducibility in PyTorch NS Detlefsen, J Borovec, J Schock, AH Jha, T Koker, LD Liello, D Stancl, ... The Journal of Open Source Software, 2022 | 84* | 2022 |
| Cryptocurrency trading using machine learning T Koker, D Koutmos Journal of Risk and Financial Management 13 (8), 178, 2020 | 47 | 2020 |
| Domain Adaptation for Time Series Under Feature and Label Shifts H He, O Queen, T Koker, C Cuevas, T Tsiligkaridis, M Zitnik 2023 International Conference on Machine Learning (ICML), 2023 | 21 | 2023 |
| U-Noise: Learnable Noise Masks for Interpretable Image Segmentation T Koker, F Mireshghallah, T Titcombe, G Kaissis 2021 International Conference on Image Processing (ICIP), 2021 | 17 | 2021 |
| AASAE: Augmentation-Augmented Stochastic Autoencoders W Falcon, AH Jha, T Koker, K Cho arXiv preprint arXiv:2107.12329, 2021 | 9* | 2021 |
| On identification and retrieval of near-duplicate biological images: A new dataset and protocol TE Koker, SS Chintapalli, S Wang, BA Talbot, D Wainstock, M Cicconet, ... 2020 25th International Conference on Pattern Recognition (ICPR), 3114-3121, 2021 | 5 | 2021 |
| Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency O Queen, T Hartvigsen, T Koker, H He, T Tsiligkaridis, M Zitnik NeurIPS 2023, 2023 | 3 | 2023 |
| Graph Contrastive Learning for Materials T Koker, K Quigley, W Spaeth, NC Frey, L Li NeurIPS 2022 AI for Accelerated Materials Design Workshop, 2022 | 3 | 2022 |
| UniTS: Building a Unified Time Series Model S Gao, T Koker, O Queen, T Hartvigsen, T Tsiligkaridis, M Zitnik arXiv preprint arXiv:2403.00131, 2024 | 1 | 2024 |
| Equivariant Electron Density Predictions Accelerate Density Functional Theory Calculations T Koker, K Quigley, E Taw, L Li Bulletin of the American Physical Society, 2024 | | 2024 |
| Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials T Koker, K Quigley, E Taw, K Tibbetts, L Li arXiv preprint arXiv:2312.05388, 2023 | | 2023 |
| Higher-Order Equivariant Graph Neural Networks for Charge Density Prediction T Koker, K Quigley, L Li NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
Ananya Harsh JhaAllen Institute for AIVerified email at allenai.org
