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Nikhil Muralidhar
Tytuł
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Incorporating prior domain knowledge into deep neural networks
N Muralidhar, MR Islam, M Marwah, A Karpatne, N Ramakrishnan
2018 IEEE international conference on big data (big data), 36-45, 2018
1792018
Phynet: Physics guided neural networks for particle drag force prediction in assembly
N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne
Proceedings of the 2020 SIAM International Conference on Data Mining, 559-567, 2020
502020
Systems and methods for recommending temporally relevant news content using implicit feedback data
N Muralidhar, HAN Eui-Hong Sam, H Rangwala
US Patent 10,977,322, 2021
372021
Physics-guided deep learning for drag force prediction in dense fluid-particulate systems
N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne
Big Data 8 (5), 431-449, 2020
312020
Steering a historical disease forecasting model under a pandemic: Case of flu and covid-19
A Rodríguez, N Muralidhar, B Adhikari, A Tabassum, N Ramakrishnan, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4855-4863, 2021
292021
illiad: Intelligent invariant and anomaly detection in cyber-physical systems
N Muralidhar, C Wang, N Self, M Momtazpour, K Nakayama, R Sharma, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-20, 2018
242018
Contrastive graph convolutional networks for hardware Trojan detection in third party IP cores
N Muralidhar, A Zubair, N Weidler, R Gerdes, N Ramakrishnan
2021 IEEE International Symposium on Hardware Oriented Security and Trust …, 2021
232021
Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids
N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne
arXiv preprint arXiv:1911.04240, 2019
222019
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems.
N Muralidhar, S Muthiah, N Ramakrishnan
IJCAI, 3180-3186, 2019
152019
Deep learning methods for predicting fluid forces in dense particle suspensions
NR Ashwin, Z Cao, N Muralidhar, D Tafti, A Karpatne
Powder Technology 401, 117303, 2022
142022
Using antipatterns to avoid mlops mistakes
N Muralidhar, S Muthiah, P Butler, M Jain, Y Yu, K Burne, W Li, D Jones, ...
arXiv preprint arXiv:2107.00079, 2021
132021
Recommending temporally relevant news content from implicit feedback data
N Muralidhar, H Rangwala, EHS Han
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
112015
Multivariate long-term state forecasting in cyber-physical systems: A sequence to sequence approach
N Muralidhar, S Muthiah, K Nakayama, R Sharma, N Ramakrishnan
2019 IEEE International Conference on Big Data (Big Data), 543-552, 2019
92019
Cut-n-reveal: Time series segmentations with explanations
N Muralidhar, A Tabassum, L Chen, S Chinthavali, N Ramakrishnan, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-26, 2020
52020
Detection of false data injection attacks in cyber-physical systems using dynamic invariants
K Nakayama, N Muralidhar, C Jin, R Sharma
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
42019
Efficient generative wireless anomaly detection for next generation networks
G Rathinavel, N Muralidhar, N Ramakrishnan, T O'Shea
MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 594-599, 2022
32022
Overcoming barriers to skill injection in language modeling: Case study in arithmetic
M Sharma, N Muralidhar, N Ramakrishnan
arXiv preprint arXiv:2211.02098, 2022
32022
Phyflow: Physics-guided deep learning for generating interpretable 3D flow fields
N Muralidhar, J Bu, Z Cao, N Raj, N Ramakrishnan, D Tafti, A Karpatne
2021 IEEE International Conference on Data Mining (ICDM), 1246-1251, 2021
32021
Comparison of reduced order models based on dynamic mode decomposition and deep learning for predicting chaotic flow in a random arrangement of cylinders
NA Raj, D Tafti, N Muralidhar
Physics of Fluids 35 (7), 2023
22023
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning
A Tabassum, N Muralidhar, R Kannan, S Allu
2022 IEEE International Conference on Big Data (Big Data), 1936-1941, 2022
22022
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