@@ -177,3 +177,85 @@ @inproceedings{maruf2021biology
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organization ={ OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}
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}
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+ @inbook {doi:10.1137/1.9781611976700.76 ,
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+ author = { Jie Bu and Anuj Karpatne} ,
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+ title = { Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs} ,
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+ booktitle = { Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)} ,
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+ chapter = { } ,
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+ pages = { 675-683} ,
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+ doi = { 10.1137/1.9781611976700.76} ,
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+ URL = { https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.76} ,
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+ eprint = { https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.76} ,
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+ }
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+
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+
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+ @inbook {doi:10.1137/1.9781611976700.31 ,
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+ author = { M. Maruf and Anuj Karpatne} ,
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+ title = { Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach} ,
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+ booktitle = { Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)} ,
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+ chapter = { } ,
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+ pages = { 271-279} ,
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+ doi = { 10.1137/1.9781611976700.31} ,
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+ URL = { https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.31} ,
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+ eprint = { https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.31} ,
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+ }
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+
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+
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+ @article {doi:10.1089/big.2020.0071 ,
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+ author = { Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj} ,
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+ title = { Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems} ,
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+ journal = { Big Data} ,
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+ volume = { 8} ,
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+ number = { 5} ,
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+ pages = { 431-449} ,
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+ year = { 2020} ,
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+ doi = { 10.1089/big.2020.0071} ,
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+ note ={ PMID: 33090021} ,
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+ URL = { https://doi.org/10.1089/big.2020.0071} ,
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+ eprint = { https://doi.org/10.1089/big.2020.0071} ,
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+ }
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+
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+ @article {papakis2020gcnnmatch ,
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+ title ={ Gcnnmatch: Graph convolutional neural networks for multi-object tracking via sinkhorn normalization} ,
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+ author ={ Papakis, Ioannis and Sarkar, Abhijit and Karpatne, Anuj} ,
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+ journal ={ arXiv preprint arXiv:2010.00067} ,
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+ year ={ 2020}
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+ }
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+
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+
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+ @inbook {doi:10.1137/1.9781611976236.63 ,
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+ author = { Nikhil Muralidhar and Jie Bu and Ze Cao and Long He and Naren Ramakrishnan and Danesh Tafti and Anuj Karpatne} ,
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+ title = { PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly} ,
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+ booktitle = { Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)} ,
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+ chapter = { } ,
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+ pages = { 559-567} ,
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+ doi = { 10.1137/1.9781611976236.63} ,
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+ URL = { https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.63} ,
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+ eprint = { https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.63} ,
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+ }
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+
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+ @inbook {doi:10.1137/1.9781611976236.60 ,
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+ author = { Arka Daw and R. Quinn Thomas and Cayelan C. Carey and Jordan S. Read and Alison P. Appling and Anuj Karpatne} ,
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+ title = { Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling} ,
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+ booktitle = { Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)} ,
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+ chapter = { } ,
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+ pages = { 532-540} ,
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+ doi = { 10.1137/1.9781611976236.60} ,
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+ URL = { https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.60} ,
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+ eprint = { https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.60} ,
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+ }
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+
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+ @article {muralidhar2019physics ,
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+ title ={ Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids} ,
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+ author ={ Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj} ,
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+ journal ={ arXiv preprint arXiv:1911.04240} ,
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+ year ={ 2019}
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+ }
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+
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+ @inproceedings {daw2019physics ,
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+ title ={ Physics-aware architecture of neural networks for uncertainty quantification: Application in lake temperature modeling} ,
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+ author ={ Daw, Arka and Karpatne, Anuj} ,
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+ year ={ 2019} ,
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+ organization ={ SIGKDD}
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+ }
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+
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