P. Graf

most citedThree Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.NT2026

$L$ -invariants and deep congruences between newforms

Andrea Conti, Peter Mathias Gräf

We study congruences modulo powers of a prime $p$ between pairs of $p$ -new modular Hecke eigenforms of level $Γ_{0} (p)$ and same weight $k$ . Based on explicit computations, we conjec…

cs.AI2024★ 2 cited

Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks

Peter Graf, Patrick Emami

Neurosymbolic AI combines the interpretability, parsimony, and explicit reasoning of classical symbolic approaches with the statistical learning of data-driven neural approaches. M…

L-invariants and deep congruences between newforms

Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks

$L$ -invariants and deep congruences between newforms