10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 10 cited
Transformer Based Reinforcement Learning For Games
Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti +1
Recent times have witnessed sharp improvements in reinforcement learning tasks using deep reinforcement learning techniques like Deep Q Networks, Policy Gradients, Actor Critic met…
cs.CV2019★ 2 cited
Robust Super-Resolution GAN, with Manifold-based and Perception Loss
Uddeshya Upadhyay, Suyash P. Awate
Super-resolution using deep neural networks typically relies on highly curated training sets that are often unavailable in clinical deployment scenarios. Using loss functions that…
cs.LG2019★ 2 cited
Removal of Batch Effects using Generative Adversarial Networks
Uddeshya Upadhyay, Arjun Jain
Many biological data analysis processes like Cytometry or Next Generation Sequencing (NGS) produce massive amounts of data which needs to be processed in batches for down-stream an…