23 citations · 28 across the 4 of their papers we have counts for
4 papers
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour +5
The industrial multi-generator Wave Energy Converters (WEC) must handle multiple simultaneous waves coming from different directions called spread waves. These complex devices in c…
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels
Alexander Shmakov, Avisek Naug, Vineet Gundecha +5
Bayesian Optimization (BO), guided by Gaussian process (GP) surrogates, has proven to be an invaluable technique for efficient, high-dimensional, black-box optimization, a critical…
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov +3
Deep learning-based reaction predictors have undergone significant architectural evolution. However, their reliance on reactions from the US Patent Office results in a lack of inte…
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Alexander Shmakov, Kevin Greif, Michael Fenton +3
High-energy collisions at the Large Hadron Collider (LHC) provide valuable insights into open questions in particle physics. However, detector effects must be corrected before meas…