Publications (20)
Regular patterns, substitudes, Feynman categories and operads
Michael Batanin, Joachim Kock, Mark Weber
Multitensors as monads on categories of enriched graphs
Mark Weber
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber, Giacomo Domeniconi, Jie Chen +4
The paper presents a large labeled Bitcoin transaction dataset and evaluates machine‑learning methods, including graph convolutional networks, for detecting illicit transactions in…
Coronal-Temperature-Diagnostic Capability of the Hinode/X-Ray Telescope Based on Self-Consistent Calibration. II. Calibration with on-Orbit Data
Noriyuki Narukage, Taro Sakao, Ryouhei Kano +4
Observing coronal nanoflares in active region moss
Paola Testa, Bart De Pontieu, Juan Martinez-Sykora +12
Monads with arities and their associated theories
Clemens Berger, Paul-André Melliès, Mark Weber
Algebras of higher operads as enriched categories II
Michael Batanin, Denis-Charles Cisinski, Mark Weber
Coronal Temperature Diagnostic Capability of the Hinode/X-Ray Telescope Based on Self-Consistent Calibration
Noriyuki Narukage, Taro Sakao, Ryouhei Kano +10
Algebras of higher operads as enriched categories
Michael Batanin, Mark Weber
Algebraic Kan extensions along morphisms of internal algebra classifiers
Mark Weber
The Lifting Theorem for Multitensors
Michael Batanin, Denis-Charles Cisinski, Mark Weber
Faà di Bruno for operads and internal algebras
Joachim Kock, Mark Weber
Multitensor lifting and strictly unital higher category theory
Michael Batanin, Denis-Charles Cisinski, Mark Weber
Anti-parallel EUV flows observed along active region filament threads with Hi-C
Caroline E. Alexander, Robert W. Walsh, Stephane Regnier +12
Operads within monoidal pseudo algebras
Mark Weber
Internal algebra classifiers as codescent objects of crossed internal categories
Mark Weber
Operads as polynomial 2-monads
Mark Weber
Free Products of Higher Operad Algebras
Mark Weber
Polynomials in categories with pullbacks
Mark Weber
Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber, Jie Chen, Toyotaro Suzumura +6