Mohammad Javad Latifi
Research Assistant Professor
Department of Mathematics, Dartmouth College
Kemeny Hall 316
Applied analysis and operator theory at the interface of dynamical systems and the mathematics of machine learning. Lately, I have been looking at the dynamics of transformers (LLMs) as an interactive particle system.
Teaching
Courses taught at Dartmouth College, most recent first. Linked titles open the course page.
Mathematics of AI and LLMs [Math 76] | Course Page
Summer 2026
Functional Analysis (reading course) [Math 87]
Summer 2026
Real Analysis [Math 35]
Summer 2025
Differential Equations [Math 23] | Course Page
Spring 2025
Linear Algebra [Math 22] | Course Page
Fall 2023
Differential Equations [Math 23] | Course Page
Spring 2022
Publications
Peer-reviewed articles and preprints, most recent first.
2026
On transformer dynamics
arXiv preprint (2026). Under review.
On algebras of functions over infinite dimensions
arXiv preprint (2026). Under review.
2025
Curvature of high-dimensional data
arXiv preprint (2025). Under review.
Symmetric star transforms and the algebraic geometry of their dual differential operators
arXiv preprint (2025).
Second quantization for classical nonlinear dynamics
arXiv preprint (2025). Under review.
A stylometric application of large language models
arXiv preprint (2025). Under review.
On the literary landscapes of vector embeddings
Computational Humanities Research, 1 (2025).
2024
Tensor network approximation of Koopman operators
arXiv preprint (2024). Revision in preparation, Communications of the AMS.
Kernel smoothing operators on thick open domains
Analysis Mathematica (2024). Accepted.
Numerical implementation of generalized V-line transforms on 2D vector fields and their inversions
SIAM Journal on Imaging Sciences, 17(1):595–631 (2024).
2023
Conversations with Flaschka: Kac–Moody groups and Verblunsky coefficients
Physica D: Nonlinear Phenomena, 445 (2023).
Multi-priority graph sparsification
Combinatorial Algorithms (IWOCA 2023), Springer (2023).
2022
Exponential of the S1 trace of the free field and Verblunsky coefficients
Rocky Mountain Journal of Mathematics, 52(3) (2022).
Prediction of track geometry degradation using artificial neural network: a case study
International Journal of Rail Transportation, 10(1):24–43 (2022).
2021
Lattice models and super telescoping formula
arXiv preprint (2021).
Inversion and symmetries of the star transform
The Journal of Geometric Analysis, 31(11):11270–11291 (2021).
2020
Generalized V-line transforms in 2D vector tomography
Inverse Problems, 36(10):104002 (2020).
Graph spanners: a tutorial review
Computer Science Review, 37:100253 (2020).
2019
The V-line transform with some generalizations and cone differentiation
Inverse Problems, 35(3):034003 (2019).
Approximation algorithms and an integer program for multi-level graph spanners
Analysis of Experimental Algorithms (SEA 2019), Springer (2019).
A general framework for multi-level subsetwise graph sparsifiers
arXiv preprint (2019).