A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
A green simulation-assisted reinforcement learning method for biomanufacturing.
New method combines simulations and data for anomaly detection.
This paper presents a simulator-assisted training method (SimVAE) for variational autoencoders (VAE) that leads to a disentangled and interpretable latent space. Training SimVAE is a two-step process in which first a deep generator network(decoder) is trained to approximate the simulator. During this step, the simulato…
Two methods use simulation to improve anomaly detection in particle physics.
Enhances anomaly detection using multiple reference datasets.
Motivation: In a predictive modeling setting, if sufficient details of the system behavior are known, one can build and use a simulation for making predictions. When sufficient system details are not known, one typically turns to machine learning, which builds a black-box model of the system using a large dataset of in…
Proposes a convex model for mixed logit to handle individual heterogeneity.