Sourabh Medapati

Publications by Year

Research Areas

Stochastic Gradient Optimization Techniques, Advanced Neural Network Applications, Model Reduction and Neural Networks, Artificial Intelligence in Games, Machine Learning and Data Classification

Most-Cited Works

• → Amortized Planning with Large-Scale Transformers: A Case Study on Chess(2024)8 cited
• → Benchmarking Neural Network Training Algorithms(2023)6 cited
• → Adaptive Gradient Methods at the Edge of Stability(2022)2 cited
• → Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW(2025)
• → How far away are truly hyperparameter-free learning algorithms?(2025)
• → Learning by solving differential equations(2025)