7 citations · 8 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2025★ 1 cited
Efficacy of Temporal Fusion Transformers for Runoff Simulation
Sinan Rasiya Koya, Tirthankar Roy
Combining attention with recurrence has shown to be valuable in sequence modeling, including hydrological predictions. Here, we explore the strength of Temporal Fusion Transformers…
cs.LG2023
An Autoencoder-based Snow Drought Index
Sinan Rasiya Koya, Kanak Kanti Kar, Shivendra Srivastava +3
In several regions across the globe, snow has a significant impact on hydrology. The amounts of water that infiltrate the ground and flow as runoff are driven by the melting of sno…
cs.LG2023★ 7 cited
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence
Sinan Rasiya Koya, Tirthankar Roy
Over the past few decades, the hydrology community has witnessed notable advancements in streamflow prediction, particularly with the introduction of cutting-edge machine-learning…