Tryambak Gangopadhyay

According to our database, Tryambak Gangopadhyay authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction.

Timilehin Ayanlade, Liza Van der Laan, Qisai Liu, Tryambak Gangopadhyay, Johnathon Shook, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Kumar Singh

Frontiers Artif. Intell., 2026

2022

Trustworthy deep learning for cyber-physical systems.

Tryambak Gangopadhyay

PhD thesis, 2022

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems.

Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar

CoRR, 2022

2021

Cross-Modal Virtual Sensing for Combustion Instability Monitoring.

Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar

CoRR, 2021

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems.

Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar

CoRR, 2021

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning.

Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh

CoRR, 2020

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Dynamic Data Driven Applications Systems, 2020