activity
20192026
most citedMachine Learning Lie Structures & Applications to Physics

21 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

hep-th2025

Deep Learning based discovery of Integrable Systems

Shailesh Lal, Suvajit Majumder, Evgeny Sobko

We introduce a novel machine learning based framework for discovering integrable models. Our approach first employs a synchronized ensemble of neural networks to find high-precisio…

hep-th2023★ 1 cited

SL(2, ) quartic vertex for closed string field theory

Harold Erbin, Suvajit Majumder

We construct the quartic vertex with a generic stub parameter for the bosonic closed string field theory by characterizing the vertex region in the modu…

hep-th2023

The R-mAtrIx Net

Shailesh Lal, Suvajit Majumder, Evgeny Sobko

We provide a novel Neural Network architecture that can: i) output R-matrix for a given quantum integrable spin chain, ii) search for an integrable Hamiltonian and the correspondin…

math.CO2021★ 10 cited

Polytopes and Machine Learning

Jiakang Bao, Yang-Hui He, Edward Hirst +3

We introduce machine learning methodology to the study of lattice polytopes. With supervised learning techniques, we predict standard properties such as volume, dual volume, reflex…

hep-th2021★ 11 cited

Protected states in $\mbox{AdS}_3$ backgrounds from integrability

Suvajit Majumder, Olof Ohlsson Sax, Bogdan Stefański +1

We write down the Algebraic Bethe Ansatz for string theory on $\mbox{AdS}_3\times\mbox{S}^3\times\mbox{T}^4$ and $\mbox{AdS}_3\times\mbox{S}^3\times\mbox{K3}$ in its orbifold limit…

hep-th2021★ 20 cited

Hilbert Series, Machine Learning, and Applications to Physics

Jiakang Bao, Yang-Hui He, Edward Hirst +3

We describe how simple machine learning methods successfully predict geometric properties from Hilbert series (HS). Regressors predict embedding weights in projective space to ${\s…

hep-th2020★ 21 cited

Machine Learning Lie Structures & Applications to Physics

Heng-Yu Chen, Yang-Hui He, Shailesh Lal +1

Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems. In this letter we show how the…

hep-th2019★ 9 cited

On Mirror Maps for Manifolds of Exceptional Holonomy

Andreas P. Braun, Suvajit Majumder, Alexander Otto

We study mirror symmetry of type II strings on manifolds with the exceptional holonomy groups and Spin(7). Our central result is a construction of mirrors of Spin(7) manifold…