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Benford's law predicts the occurrence of the $n^{\mathrm{th}}$ digit of numbers in datasets originating from various sources of the world, ranging from financial data to atomic spectra. It is intriguing that although many features of…

Popular Physics · Physics 2014-09-11 T. Alexopoulos , S. Leontsinis

We address the task of identifying anomalous observations by analyzing digits under the lens of Benford's law. Motivated by the crucial objective of providing reliable statistical analysis of customs declarations, we answer one major and…

Methodology · Statistics 2025-07-14 Lucio Barabesi , Andrea Cerioli , Andrea Cerasa , Domenico Perrotta

Machine learning (ML) has emerged as a powerful tool for tackling complex regression and classification tasks, yet its success often hinges on the quality of training data. This study introduces an ML paradigm inspired by domain knowledge…

Machine Learning · Computer Science 2025-01-10 Mohsen Rashki

In this paper we explore how machine learning techniques can be applied to the discovery of efficient mathematical identities. We introduce an attribute grammar framework for representing symbolic expressions. Given a set of grammar rules…

Machine Learning · Computer Science 2014-11-07 Wojciech Zaremba , Karol Kurach , Rob Fergus

The reproducibility of academic research has long been a persistent issue, contradicting one of the fundamental principles of science. What is even more concerning is the increasing number of false claims found in academic manuscripts…

Information Retrieval · Computer Science 2024-06-18 Teddy Lazebnik , Dan Gorlitsky

Complex machine learning algorithms are used more and more often in critical tasks involving text data, leading to the development of interpretability methods. Among local methods, two families have emerged: those computing importance…

Machine Learning · Computer Science 2025-10-22 Gianluigi Lopardo , Damien Garreau

We survey some recent applications of machine learning to problems in geometry and theoretical physics. Pure mathematical data has been compiled over the last few decades by the community and experiments in supervised, semi-supervised and…

High Energy Physics - Theory · Physics 2023-03-31 Yang-Hui He , Elli Heyes , Edward Hirst

Benford's law is an empirical ``law'' governing the frequency of leading digits in numerical data sets. Surprisingly, for mathematical sequences the predictions derived from it can be uncannily accurate. For example, among the first billion…

Probability · Mathematics 2020-04-28 Zhaodong Cai , Matthew Faust , A. J. Hildebrand , Junxian Li , Yuan Zhang

We develop two complementary generative mechanisms that explain when and why Benford's first-digit law arises. First, a probabilistic Turing machine (PTM) ensemble induces a geometric law for codelength. Maximizing its entropy under a…

Information Theory · Computer Science 2025-11-25 Alexander Kolpakov , Aidan Rocke

With this work we aim to show how Mathematica can be a useful tool to investigate properties of combinatorial structures. Specifically, we will face enumeration problems on independent subsets of powers of paths and cycles, trying to…

Mathematical Software · Computer Science 2013-07-05 Pietro Codara , Ottavio M. D'Antona

Probabilistic Law Discovery (PLD) is a logic based Machine Learning method, which implements a variant of probabilistic rule learning. In several aspects, PLD is close to Decision Tree/Random Forest methods, but it differs significantly in…

Artificial Intelligence · Computer Science 2022-12-23 Alexander Demin , Denis Ponomaryov

In this work we employ machine learning to understand structured mathematical data involving finite groups and derive a theorem about necessary properties of generators of finite simple groups. We create a database of all 2-generated…

Machine Learning · Computer Science 2024-04-16 Yang-Hui He , Vishnu Jejjala , Challenger Mishra , Em Sharnoff

Benford's Law describes the finding that the distribution of leading (or leftmost) digits of innumerable datasets follows a well-defined logarithmic trend, rather than an intuitive uniformity. In practice this means that the most common…

Data Analysis, Statistics and Probability · Physics 2013-11-20 Aaron D. Slepkov , Kevin B. Ironside , David DiBattista

Many systems exhibit a digit bias. For example, the first digit base 10 of the Fibonacci numbers, or of $2^n$, equals 1 not 10% or 11% of the time, as one would expect if all digits were equally likely, but about 30% of the time. This…

We study the convergence properties of a pair of learning algorithms (learning with and without memory). This leads us to study the dominant eigenvalue of a class of random matrices. This turns out to be related to the roots of the…

Probability · Mathematics 2007-05-23 Natalia Komarova , Igor Rivin

It is a fundamental, but still elusive question whether the schemes based on quantum mechanics, in particular on quantum entanglement, can be used for classical information processing and machine learning. Even partial answer to this…

Machine Learning · Statistics 2022-06-24 Yuhan Liu , Xiao Zhang , Maciej Lewenstein , Shi-Ju Ran

We implement and interpret various supervised learning experiments involving real quadratic fields with class numbers 1, 2 and 3. We quantify the relative difficulties in separating class numbers of matching/different parity from a…

Number Theory · Mathematics 2025-01-14 Malik Amir , Yang-Hui He , Kyu-Hwan Lee , Thomas Oliver , Eldar Sultanow

Benford's Law describes the prevalence of small numbers as the leading digits of numbers in many sets of integers. We prove a variant of Benford's law for many positive-density subsets of the primes. This follows from a more general result…

Number Theory · Mathematics 2022-07-18 Henry Glunz

One source of beauty in mathematics is totally unexpected connections between two fundamentally different objects. For instance, is it not surprising that the time period of a real simple pendulum is linked with a function arising out of…

History and Overview · Mathematics 2018-08-07 Alok Shukla

The world is structured in countless ways. It may be prudent to enforce corresponding structural properties to a learning algorithm's solution, such as incorporating prior beliefs, natural constraints, or causal structures. Doing so may…

Machine Learning · Computer Science 2021-11-30 Francesco Locatello