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)