| Physics-guided neural networks (pgnn): An application in lake temperature modeling A Daw, A Karpatne, WD Watkins, JS Read, V Kumar Knowledge Guided Machine Learning, 353-372, 2022 | 863 | 2022 |
| Physics-guided architecture (pga) of neural networks for quantifying uncertainty in lake temperature modeling A Daw, RQ Thomas, CC Carey, JS Read, AP Appling, A Karpatne Proceedings of the 2020 siam international conference on data mining, 532-540, 2020 | 176 | 2020 |
| Mitigating propagation failures in physics-informed neural networks using retain-resample-release (r3) sampling A Daw, J Bu, S Wang, P Perdikaris, A Karpatne International Conference on Machine Learning (ICML) 2023, 2023 | 154* | 2023 |
| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics A Daw, M Maruf, A Karpatne Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 45 | 2021 |
| Learning compact representations of neural networks using discriminative masking (DAM) J Bu, A Daw, M Maruf, A Karpatne Advances in Neural Information Processing Systems 34, 3491-3503, 2021 | 7 | 2021 |
| Fish-vista: A multi-purpose dataset for understanding & identification of traits from images KS Mehrab, M Maruf, A Daw, HB Manogaran, A Neog, M Khurana, ... arXiv preprint arXiv:2407.08027, 2024 | 4 | 2024 |
| Physics-aware Architecture of Neural Networks for Uncertainty Quantification: Application in Lake Temperature Modeling A Daw, A Karpatne FEED Workshop at Knowledge Discovery and Data Mining Conference (SIGKDD …, 2019 | 4 | 2019 |
| Motion Enhanced Multi‐Level Tracker (MEMTrack): A Deep Learning‐Based Approach to Microrobot Tracking in Dense and Low‐Contrast Environments M Sawhney, B Karmarkar, EJ Leaman, A Daw, A Karpatne, B Behkam Advanced Intelligent Systems 6 (4), 2300590, 2024 | 3* | 2024 |
| Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring A Daw, K Yeo, A Karpatne, L Klein 2022 IEEE International Conference on Big Data (Big Data), 4835-4841, 2022 | 3 | 2022 |
| Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process‐Based Modeling With Deep Learning R Ladwig, A Daw, EA Albright, C Buelo, A Karpatne, MF Meyer, A Neog, ... Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003953, 2024 | 2 | 2024 |
| What do you see in common? learning hierarchical prototypes over tree-of-life to discover evolutionary traits HB Manogaran, M Maruf, A Daw, KS Mehrab, CP Charpentier, JC Uyeda, ... arXiv preprint arXiv:2409.02335, 2024 | 1 | 2024 |
| Vlm4bio: A benchmark dataset to evaluate pretrained vision-language models for trait discovery from biological images M Maruf, A Daw, KS Mehrab, HB Manogaran, A Neog, M Sawhney, ... arXiv preprint arXiv:2408.16176, 2024 | 1 | 2024 |
| Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling A Daw, RQ Thomas, CC Carey, JS Read, AP Appling, A Karpatne Knowledge Guided Machine Learning, 399-416, 2022 | 1 | 2022 |
| Physics-Informed Discriminator (PID) for Conditional Generative Adversarial Nets A Daw, M Maruf, A Karpatne Advances in Neural Information Processing Systems, Machine Learning and …, 2020 | 1 | 2020 |
| AI-generated Image Detection: Passive or Watermark? M Guo, Y Hu, Z Jiang, Z Li, A Sadovnik, A Daw, N Gong arXiv preprint arXiv:2411.13553, 2024 | | 2024 |
| Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images A Daw, MHT Chung, M Mahbub, A Sadovnik arXiv preprint arXiv:2410.13010, 2024 | | 2024 |
| A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations N Gupta, M Sawhney, A Daw, Y Lin, A Karpatne arXiv preprint arXiv:2410.11247, 2024 | | 2024 |
| What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits H Babu Manogaran, M Maruf, A Daw, K Sajeed Mehrab, CP Charpentier, ... arXiv e-prints, arXiv: 2409.02335, 2024 | | 2024 |
| Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution M Khurana, A Daw, M Maruf, JC Uyeda, W Dahdul, C Charpentier, ... European Conference on Computer Vision (ECCV), 2024, 2024 | | 2024 |
| Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations A Kashi, A Daw, MG Meena, H Lu AI4Science workshop at International Conference on Machine Learning (ICML) 2024, 2024 | | 2024 |
Anuj KarpatneVirginia Tech確認したメール アドレス: vt.edu