3 citations · 3 across the 3 of their papers we have counts for
4 papers
Learning to Bias: Machine Learning-Enhanced Particle Filters
Apoorv Srivastava, Eric Darve
Sequential inference estimates latent states from noisy and incomplete observations. Particle Filters (PFs), a class of Monte Carlo methods based on importance sampling, provide a…
Decision-Driven Geosteering Under Uncertainty: A Unified Framework for Sequential Decision Optimization
Hibat Errahmen Djecta, Sergey Alyaev, Kristian Fossum +3
Geosteering requires navigating a well trajectory through an unknown geological configuration, while sequentially updating decisions based on indirect measurements acquired during…
Hierarchy of degenerate stationary states in a boundary-driven dipole-conserving spin chain
Apoorv Srivastava, Shovan Dutta
Kinetically constrained spin chains serve as a prototype for structured ergodicity breaking in isolated quantum systems. We show that such a system exhibits a hierarchy of degenera…
High-Precision Geosteering via Reinforcement Learning and Particle Filters
Ressi Bonti Muhammad, Apoorv Srivastava, Sergey Alyaev +2
Geosteering, a key component of drilling operations, traditionally involves manual interpretation of various data sources such as well-log data. This introduces subjective biases a…