Tamás Nagy

A Proposed Temporal Difficulty Diagnostic for Hamiltonian Systems

We propose a finite-window temporal diagnostic for selected near-integrable Hamiltonian systems. It compares a normalized Fourier statistic of the perturbation Hessian along trajectories with a separately normalized finite-time redistribution estimator. We derive the log-frequenc...

A Proposed Temporal Difficulty Diagnostic for Hamiltonian Systems

We propose a finite-window temporal diagnostic for selected near-integrable Hamiltonian systems. It compares a normalized Fourier statistic of the perturbation Hessian along trajectories with a separately normalized finite-time redistribution estimator. We derive the log-frequenc...

The Structured Latent Basis: Feature Engineering as Basis Selection

We introduce the Structured Latent Basis (SLB) framework, a perspective that compares feature engineering, meta-learning, and representation learning through a common diagnostic question: does the chosen representation make a regularized linear predictor sufficient under a declar...

The Structured Latent Basis: Feature Engineering as Basis Selection

We introduce the Structured Latent Basis (SLB) framework, a perspective that compares feature engineering, meta-learning, and representation learning through a common diagnostic question: does the chosen representation make a regularized linear predictor sufficient under a declar...