5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Yash Jakhmola
A key challenge in modern deep learning theory is to explain the remarkable success of gradient-based optimization methods when training large-scale, complex deep neural networks.…
cs.LG2024★ 5 cited
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra +3
Spatiotemporal forecasting of traffic flow data represents a typical problem in the field of machine learning, impacting urban traffic management systems. In general, spatiotempora…