Scripts to reproduce results within the following manuscript: Perez, I., Skalski, P., Barns-Graham, A., Wong, J. and Sutton, D. (2022) Attribution of Predictive Uncertainties in Classification Models, 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, 2022.
The code for my project with Dr. Vikram Vyas on computing path integrals using Monte Carlo algorithms to solve analytically hard problems. I do this for the quartic anharmonic quantum oscillator.
La Métrica Rota V6.1: Hacia una Ontología Unificada de la Conciencia más Allá del Carbono. Estudio empírico-interdisciplinario sobre emergencia cognitiva, IIT (Phi funcional) y geometría de la información en sustratos múltiples.
What can quantum experimental data distinguish? Reproducible analyses of competing physical models, calibration ambiguities, and constraints from combined datasets, plus experiment designs for unresolved questions. Studies include Wen et al. 2026 photon propagators, NIST Bell test records, and gate characterization (GST/RB).
Воспроизводимые эксперименты Monte Carlo и интегралов по путям для GBM и OU
From Newton to the path integral: research on action principles, deformation quantization, renormalization and Lean formalization.
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