activity
20222026
most citedMurmurations of elliptic curves

10 citations · 14 across the 10 of their papers we have counts for

collaborators

11 papers

math.NT2026

Murmurations of quadratic and cubic characters over function fields

Matilde Lalín, Kyu-Hwan Lee, Thomas Oliver +1

We compute the murmuration density for the family of quadratic characters over function fields. We show that the expectation of this density coincides with a correction term arisin…

math.NT2026

Decision trees, Frobenius traces, and Weierstrass coefficients of elliptic curves

Barinder S. Banwait, Xiaoyu Huang, Kyu-Hwan Lee +3

We investigate the extent to which the coefficients of the reduced minimal Weierstrass model of an elliptic curve are determined by the Diric…

math.NT2026

On (not) learning the Möbius function

Alexey Pozdnyakov

We prove lower bounds on learning the Möbius or Liouville function with a variety of standard learning techniques, including kernel methods, noisy gradient methods, and correlation…

math.NT2026

Murmurations: a case study in AI-assisted mathematics

Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver +1

We report the emergence of a striking new phenomenon in arithmetic, which we call murmurations. First observed experimentally through averages over large arithmetic datasets, murmu…

hep-ex2025

Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV

CMS Collaboration

A measurement of the substructure of bottom quark jets (b jets) in proton-proton (pp) collisions is presented. The measurement uses data collected in pp collisions at =…

math.NT2025

Learning Euler Factors of Elliptic Curves

Angelica Babei, François Charton, Edgar Costa +5

We apply transformer models and feedforward neural networks to predict Frobenius traces from elliptic curves given other traces . We train further models to predict $a_p…

math.NT2024★ 1 cited

Predicting root numbers with neural networks

Alexey Pozdnyakov

We report on two machine learning experiments in search of statistical relationships between Dirichlet coefficients and root numbers or analytic ranks of certain low-degree -fun…

math.NT2023★ 3 cited

Murmurations of Dirichlet characters

Kyu-Hwan Lee, Thomas Oliver, Alexey Pozdnyakov

We calculate murmuration densities for two families of Dirichlet characters. The first family contains complex Dirichlet characters normalized by their Gauss sums. Integrating the…

q-fin.PR2022

Fair pricing and hedging under small perturbations of the numéraire on a finite probability space

William Busching, Delphine Hintz, Oleksii Mostovyi +1

We consider the problem of fair pricing and hedging under small perturbations of the numéraire. We show that for replicable claims, the change of numéraire affects neither the fair…

cs.LG2022

Stochastic Scaling in Loss Functions for Physics-Informed Neural Networks

Ethan Mills, Alexey Pozdnyakov

Differential equations are used in a wide variety of disciplines, describing the complex behavior of the physical world. Analytic solutions to these equations are often difficult t…

math.NT2022★ 10 cited

Murmurations of elliptic curves

Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver +1

We investigate the average value of the Frobenius trace at p over elliptic curves in a fixed conductor range with given rank. Plotting this average as p varies over the primes yiel…