602 citations · 2.2k across the 50 of their papers we have counts for
50 papers
Propensity Straight-Through Gradients for Discrete Stochastic Systems
Jose M. G. Vilar, Leonor Saiz
Continuous-time Markov chains (CTMCs) provide the backbone for modeling discrete stochastic dynamics across applied, physical, and biological sciences. Their integration with moder…
Closed-form hard-sphere thermodynamics under nanoscale confinement: from equations of state to unmixing forces
Jose M. G. Vilar, Leonor Saiz
Equations of state accurately describe hard-sphere thermodynamics but are generally considered to fail under nanoscale confinement. We show that this failure is geometric rather th…
Scaling Laws and Paradoxical Metastable States in Nanofilament Entropic Separation
Jose M. G. Vilar, J. Miguel Rubi, Leonor Saiz
Entropic forces play a fundamental role in nanoscale phenomena, from colloidal self-assembly to biomolecular disaggregation. Here, we develop an exact analytical theory and find ge…
Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
Jose M. G. Vilar, Leonor Saiz
Exact stochastic simulation of continuous-time Markov chains (CTMCs) is essential when discreteness and noise drive system behavior, but the hard categorical event selection in Gil…
Quasi-average predictions and regression to the trend: an application the M6 financial forecasting competition
Jose M. G. Vilar
The efficient market hypothesis considers all available information already reflected in asset prices and limits the possibility of consistently achieving above-average returns by…
Actionable forecasting as a determinant of function in noisy biological systems
Jose M. G. Vilar, Leonor Saiz
Continuous adaptation to variable environments is crucial for the survival of living organisms. Here, we analyze how adaptation, forecasting, and resource mobilization towards a ta…