A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models
Preprint, 2025
arXiv:2510.00666About
I am a PhD candidate in Applied Mathematics at Tel Aviv University, jointly supervised by Dr. Inbar Seroussi and Dr. Dmitry Batenkov.
My research focuses on mathematical models of neural networks in high-dimensional settings. Previously, I completed my MSc at Tel Aviv University, where I studied physics-informed neural networks for atmospheric radiative transfer.
Research interests
- Learning theory, transformers, and in-context learning
- Learning collective dynamics and probabilistic forecasting
- Physics-informed neural networks
Publications
- 2026
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
International Conference on Learning Representations (ICLR), 2026
Paper on OpenReview - 2025
Physics-informed neural networks for modeling atmospheric radiative transfer
Journal of Quantitative Spectroscopy and Radiative Transfer, 331, 109253
Published article
Preprints
Education
- 2023–present
- PhD, Applied MathematicsTel Aviv University
- 2021–2023
- MSc, Applied MathematicsTel Aviv University · Summa cum laude
Thesis: Physics-Informed Neural Networks for Modeling Atmospheric Radiative Transfer.
- 2013–2016
- BSc, Applied MathematicsBar-Ilan University
Program for gifted youth in mathematics.
Teaching
Teaching assistant at Tel Aviv University for undergraduate engineering courses, 2021–2022 and 2024–2026.
- Harmonic Analysis
- Ordinary Differential Equations
Talks & posters
- Israeli Mathematical Union (IMU) Student Talks
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
- NUS Summer School on Mathematical Aspects of Data Science
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
- Princeton Machine Learning Theory Summer School
Minimax Rates for Transformer Attention via Interacting Particle Systems
- SIAM Conference on Mathematics of Planet Earth (MPE24)
Physics-Informed Neural Networks for Modeling Atmospheric Radiative Transfer
- International Radiation Symposium (IRS)
Utilization of Convolutional Neural Networks and Physics-Informed Neural Networks to Retrieve Cloud and Aerosol Properties from Polarimetric Observations
Awards & distinctions
- 2026KLA Scholarship for Outstanding Doctoral Students
- 2026Honorable Mention, Israel Mathematical Union student talks
- 2026, 2023Tel Aviv University Award Certificate for Outstanding Math Students