176 citations · 185 across the 5 of their papers we have counts for
5 papers
Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
Shaswat Garg, Matin Moezzi, Brandon Da Silva
Hierarchical goal-conditioned reinforcement learning (H-GCRL) provides a powerful framework for tackling complex, long-horizon tasks by decomposing them into structured subgoals. H…
Transformers in Healthcare: A Survey
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang +9
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly…
Transformer Models for Acute Brain Dysfunction Prediction
Brandon Silva, Miguel Contreras, Tezcan Ozrazgat Baslanti +5
Acute brain dysfunctions (ABD), which include coma and delirium, are prevalent in the ICU, especially among older patients. The current approach in manual assessment of ABD by care…
Style Transfer with Time Series: Generating Synthetic Financial Data
Brandon Da Silva, Sylvie Shang Shi
Training deep learning models that generalize well to live deployment is a challenging problem in the financial markets. The challenge arises because of high dimensionality, limite…
Approximating Poker Probabilities with Deep Learning
Brandon Da Silva
Many poker systems, whether created with heuristics or machine learning, rely on the probability of winning as a key input. However calculating the precise probability using combin…