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.
Bayesian calibration for BCP self-assembly models using image data and measure transport.
Study uses multi-agent reinforcement learning to control self-assembly with high-resolution external control.
Contemporary sensorimotor learning approaches typically start with an existing complex agent (e.g., a robotic arm), which they learn to control. In contrast, this paper investigates a modular co-evolution strategy: a collection of primitive agents learns to dynamically self-assemble into composite bodies while also lea…
Algorithm of multicurrency trading at the market of Forex is realized on the basis of nonlinear stochastic wavelets. The distinctive feature of the algorithm is the possibility of weakly- and strongly connected horizontal self-assemblies, as well as use of nested structures. On-line trading with eight currency couples …
Develops a new MCMC-based Wishart prior for Gaussian Process covariance matrix.
Differentiable simulations control molecular Hamiltonians for desired outcomes.
Study develops machine learning model to predict component movement during reflow in SMT.