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ORCIDTryambak Gangopadhyay
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Conference and Workshop Papers
- 2021
[c2]Tryambak Gangopadhyay, Sin Yong Tan
, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP 2021: 3560-3564- 2020
- [c1]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar:
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS 2020: 93-101
Informal and Other Publications
- 2022
- [i5]Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar:
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. CoRR abs/2208.01871 (2022) - 2021
- [i4]Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. CoRR abs/2101.01877 (2021) - [i3]Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
Cross-Modal Virtual Sensing for Combustion Instability Monitoring. CoRR abs/2110.01659 (2021) - 2020
- [i2]Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh:
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning. CoRR abs/2006.13847 (2020) - [i1]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR abs/2008.04882 (2020)
Coauthor Index
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