Skip to content

Commit 98b03c4

Browse files
authored
Updated till 2019 papers.bib
1 parent 5bf7c4c commit 98b03c4

File tree

1 file changed

+82
-0
lines changed

1 file changed

+82
-0
lines changed

_bibliography/papers.bib

Lines changed: 82 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -177,3 +177,85 @@ @inproceedings{maruf2021biology
177177
organization={OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}
178178
}
179179

180+
@inbook{doi:10.1137/1.9781611976700.76,
181+
author = {Jie Bu and Anuj Karpatne},
182+
title = {Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs},
183+
booktitle = {Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)},
184+
chapter = {},
185+
pages = {675-683},
186+
doi = {10.1137/1.9781611976700.76},
187+
URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.76},
188+
eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.76},
189+
}
190+
191+
192+
@inbook{doi:10.1137/1.9781611976700.31,
193+
author = {M. Maruf and Anuj Karpatne},
194+
title = {Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach},
195+
booktitle = {Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)},
196+
chapter = {},
197+
pages = {271-279},
198+
doi = {10.1137/1.9781611976700.31},
199+
URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976700.31},
200+
eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.31},
201+
}
202+
203+
204+
@article{doi:10.1089/big.2020.0071,
205+
author = {Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj},
206+
title = {Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems},
207+
journal = {Big Data},
208+
volume = {8},
209+
number = {5},
210+
pages = {431-449},
211+
year = {2020},
212+
doi = {10.1089/big.2020.0071},
213+
note ={PMID: 33090021},
214+
URL = {https://doi.org/10.1089/big.2020.0071},
215+
eprint = {https://doi.org/10.1089/big.2020.0071},
216+
}
217+
218+
@article{papakis2020gcnnmatch,
219+
title={Gcnnmatch: Graph convolutional neural networks for multi-object tracking via sinkhorn normalization},
220+
author={Papakis, Ioannis and Sarkar, Abhijit and Karpatne, Anuj},
221+
journal={arXiv preprint arXiv:2010.00067},
222+
year={2020}
223+
}
224+
225+
226+
@inbook{doi:10.1137/1.9781611976236.63,
227+
author = {Nikhil Muralidhar and Jie Bu and Ze Cao and Long He and Naren Ramakrishnan and Danesh Tafti and Anuj Karpatne},
228+
title = {PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly},
229+
booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)},
230+
chapter = {},
231+
pages = {559-567},
232+
doi = {10.1137/1.9781611976236.63},
233+
URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.63},
234+
eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.63},
235+
}
236+
237+
@inbook{doi:10.1137/1.9781611976236.60,
238+
author = {Arka Daw and R. Quinn Thomas and Cayelan C. Carey and Jordan S. Read and Alison P. Appling and Anuj Karpatne},
239+
title = {Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling},
240+
booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining (SDM)},
241+
chapter = {},
242+
pages = {532-540},
243+
doi = {10.1137/1.9781611976236.60},
244+
URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611976236.60},
245+
eprint = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611976236.60},
246+
}
247+
248+
@article{muralidhar2019physics,
249+
title={Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids},
250+
author={Muralidhar, Nikhil and Bu, Jie and Cao, Ze and He, Long and Ramakrishnan, Naren and Tafti, Danesh and Karpatne, Anuj},
251+
journal={arXiv preprint arXiv:1911.04240},
252+
year={2019}
253+
}
254+
255+
@inproceedings{daw2019physics,
256+
title={Physics-aware architecture of neural networks for uncertainty quantification: Application in lake temperature modeling},
257+
author={Daw, Arka and Karpatne, Anuj},
258+
year={2019},
259+
organization={SIGKDD}
260+
}
261+

0 commit comments

Comments
 (0)