Update papers.bib

Author: mridulk97

_bibliography/papers.bib

@@ -140,130 +140,3 @@ @inproceedings{papakis2021graph
   year={2021},
   organization={IEEE}
 }
-
-@inproceedings{yu2021physics,
-  title={Physics-guided ai for large-scale spatiotemporal data},
-  author={Yu, Rose and Perdikaris, Paris and Karpatne, Anuj},
-  booktitle={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
-  pages={4088--4089},
-  year={2021}
-}
-
-@inproceedings{daw2021pid,
-  title={PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics},
-  author={Daw, Arka and Maruf, M and Karpatne, Anuj},
-  booktitle={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
-  pages={237--247},
-  year={2021}
-}
-
-@inproceedings{elhamod2021biology,
-  title={Biology-guided neural network for species classification},
-  author={Elhamod, M and Maruf, MA and Mandke, PK and Karpatne, A},
-  booktitle={INTEGRATIVE AND COMPARATIVE BIOLOGY},
-  volume={61},
-  pages={E228--E229},
-  year={2021},
-  organization={OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}
-}
-
-@inproceedings{maruf2021biology,
-  title={Biology-guided neural network for fish trait discovery},
-  author={Maruf, MA and Elhamod, M and Mandke, PK and Karpatne, A},
-  booktitle={INTEGRATIVE AND COMPARATIVE BIOLOGY},
-  volume={61},
-  pages={E577--E578},
-  year={2021},
-  organization={OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}
-}
-
-@inbook{doi:10.1137/1.9781611976700.76,
-author = {Jie Bu and Anuj Karpatne},
-title = {Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs},
-booktitle = {Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)},
-chapter = {},
-pages = {675-683},
-doi = {10.1137/1.9781611976700.76},
-URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.76},
-eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.76},
-}
-
-
-@inbook{doi:10.1137/1.9781611976700.31,
-author = {M. Maruf and Anuj Karpatne},
-title = {Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach},
-booktitle = {Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)},
-chapter = {},
-pages = {271-279},
-doi = {10.1137/1.9781611976700.31},
-URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.31},
-eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.31},
-}
-
-
-@article{doi:10.1089/big.2020.0071,
-author = {Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj},
-title = {Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems},
-journal = {Big Data},
-volume = {8},
-number = {5},
-pages = {431-449},
-year = {2020},
-doi = {10.1089/big.2020.0071},
-note ={PMID: 33090021},
-URL = {https://doi.org/10.1089/big.2020.0071},
-eprint = {https://doi.org/10.1089/big.2020.0071},
-}
-
-@article{papakis2020gcnnmatch,
-  title={Gcnnmatch: Graph convolutional neural networks for multi-object tracking via sinkhorn normalization},
-  author={Papakis, Ioannis and Sarkar, Abhijit and Karpatne, Anuj},
-  journal={arXiv preprint arXiv:2010.00067},
-  year={2020}
-}
-
-
-@inbook{doi:10.1137/1.9781611976236.63,
-author = {Nikhil Muralidhar and Jie Bu and Ze Cao and Long He and Naren Ramakrishnan and Danesh Tafti and Anuj Karpatne},
-title = {PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly},
-booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)},
-chapter = {},
-pages = {559-567},
-doi = {10.1137/1.9781611976236.63},
-URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.63},
-eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.63},
-}
-
-@inbook{doi:10.1137/1.9781611976236.60,
-author = {Arka Daw and R. Quinn Thomas and Cayelan C. Carey and Jordan S. Read and Alison P. Appling and Anuj Karpatne},
-title = {Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling},
-booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)},
-chapter = {},
-pages = {532-540},
-doi = {10.1137/1.9781611976236.60},
-URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.60},
-eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.60},
-}
-
-@article{muralidhar2019physics,
-  title={Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids},
-  author={Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj},
-  journal={arXiv preprint arXiv:1911.04240},
-  year={2019}
-}
-
-@inproceedings{daw2019physics,
-  title={Physics-aware architecture of neural networks for uncertainty quantification: Application in lake temperature modeling},
-  author={Daw, Arka and Karpatne, Anuj},
-  year={2019},
-  organization={SIGKDD}
-}
-
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