[NeurIPS'25] Sequence Modeling with Spectral Mean Flows, in PyTorch
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Updated
Oct 20, 2025 - Python
[NeurIPS'25] Sequence Modeling with Spectral Mean Flows, in PyTorch
ScaledRelativeGraphs.jl — Computable SRG-based stability certificates for engineering practice. Bridges theory and application with standards compliance, measured-data workflows, and visualization. Julia.
Research project exploring operator-theoretic approaches to the Riemann Hypothesis, combining spectral theory and computational analysis. Includes English (main) and Portuguese versions.
Executable Hilbert–Schmidt certificates establishing a Yang–Mills mass gap via operator coercivity transfer, with CI-enforced monotonicity and frozen artifacts.
SpectralNet v4: differentiable Chernoff–Remizov trajectories for inverse problems (1D Darcy). Companion code for Zenodo 10.5281/zenodo.19637120.
Publication list
Repository Of The seminar: Computational Dynamics
The invariant subspace problem via operator-spectral persistence on the manifold-constrained canonical lane. Reproducible local-to-global theorem package.
A multidimensional jet space engine for high-order mixed partial Log-Tower derivatives. Features a Chronological Step-Operator Engine (Anchor/Web logic) that eliminates Bell polynomial explosion via asymmetric tensor caching. Replaces the quotient rule with an optimized derivative generator for lightning-fast symbolic mapping.
🔍 Verify and certify analytic bounds related to the Yang–Mills mass gap problem using reproducible computer-assisted scripts.
SpectralNet v5: spectral evaluation of 2D Chernoff–Remizov trajectories for 2D Darcy inverse problems. Companion code for Zenodo 10.5281/zenodo.19664767.
Spectral floor normalization and Hermite-basis structural analysis for Gaussian-Laguerre operator models
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