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Using holomorphic projection, we work out a parametrization for all relations of products (resp. Rankin-Cohen brackets) of weight $\tfrac 32$ mock modular forms with holomorphic shadow and weight $\tfrac 12$ modular forms in the spirit of…

Number Theory · Mathematics 2020-07-02 Michael H. Mertens

We classify the three-dimensional representations of the modular group that are reducible but indecomposable, and their associated spaces of holomorphic vector-valued modular forms. We then demonstrate how such representations may be…

Number Theory · Mathematics 2017-10-17 Luca Candelori , Tucker Hartland , Christopher Marks , Diego Yepez

The main result is the identification of the orthogonal complement of the subalgebra of conformal vector field inside the algebra of all vector fields of a compact flat 2-manifold. As a fundamental tool, the complete Hodge decomposition for…

Differential Geometry · Mathematics 2016-09-05 Stephen Marsland , Robert McLachlan , Klas Modin , Matthew Perlmutter

In this article, we discuss a novel approach to solving number sequence problems, in which sequences of numbers following unstated rules are given, and missing terms are to be inferred. We develop a methodology of decomposing test sequences…

History and Overview · Mathematics 2022-11-29 John Prager

We consider holomorphic twists of arbitrary supersymmetric theories in four dimensions. Working in the BV formalism, we rederive classical results characterizing the holomorphic twist of chiral and vector supermultiplets, computing the…

Mathematical Physics · Physics 2020-08-26 Ingmar Saberi , Brian R. Williams

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 corresponding R-matrix under assumptions of certain symmetries or other…

High Energy Physics - Theory · Physics 2023-04-17 Shailesh Lal , Suvajit Majumder , Evgeny Sobko

Recent studies reveal that integrating new modalities into Large Language Models (LLMs), such as Vision-Language Models (VLMs), creates a new attack surface that bypasses existing safety training techniques like Supervised Fine-tuning (SFT)…

Computation and Language · Computer Science 2025-10-15 Trishna Chakraborty , Erfan Shayegani , Zikui Cai , Nael Abu-Ghazaleh , M. Salman Asif , Yue Dong , Amit K. Roy-Chowdhury , Chengyu Song

The explicit computation of higher-point conformal blocks in any dimension is usually a challenging task. For two-dimensional conformal field theories in Euclidean signature, the oscillator formalism proves to be very efficient. We…

High Energy Physics - Theory · Physics 2025-05-15 Martin Ammon , Jakob Hollweck , Tobias Hössel , Katharina Wölfl

We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytelling task. Within our framework, the task of generating a…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Qiuyuan Huang , Zhe Gan , Asli Celikyilmaz , Dapeng Wu , Jianfeng Wang , Xiaodong He

A challenge in the study of conformal field theory (CFT) is to characterize the possible defects in specific bulk CFTs. Given the success of numerical bootstrap techniques applied to the characterization of bulk CFTs, it is desirable to…

Strongly Correlated Electrons · Physics 2025-10-16 Ryan A. Lanzetta , Shang Liu , Max A. Metlitski

In this review, we aim to utilize the bootstrap method to study models that have received significant interest in high energy theory and holography recently. Matrix bootstrap is proposed to determine the range of the solution up to an…

General Relativity and Quantum Cosmology · Physics 2026-05-19 Shu Luo

In our previous paper an effective algorithm for inverting polynomial automorphisms was proposed. We extend its application to the case of formal power series over a field of arbitrary characteristic and illustrate the proposed approach…

Commutative Algebra · Mathematics 2026-03-31 Elżbieta Adamus

Multimodal large language models (MLLMs) have made significant progress in vision-language understanding, yet effectively aligning different modalities remains a fundamental challenge. We present a framework that unifies multimodal…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Wanpeng Zhang , Yicheng Feng , Hao Luo , Yijiang Li , Zihao Yue , Sipeng Zheng , Zongqing Lu

Matrix-valued holomorphic quantum modular forms are intricate objects that arise in successive refinements of the Volume Conjecture of knots and involve three holomorphic, asymptotic and arithmetic objects. It is expected that the algebraic…

Geometric Topology · Mathematics 2024-07-15 Ni An , Stavros Garoufalidis , Shana Yunsheng Li

We describe a new incomplete but terminating method for real root finding for large multivariate polynomials. We take an abstract view of the polynomial as the set of exponent vectors associated with sign information on the coefficients.…

Symbolic Computation · Computer Science 2018-04-30 Thomas Sturm

We give a new method to construct linear spaces of matrices of constant rank, based on truncated graded cohomology modules of certain vector bundles as well as on the existence of graded Artinian modules with pure resolutions. Our method…

Algebraic Geometry · Mathematics 2017-02-07 Ada Boralevi , Daniele Faenzi , Paolo Lella

We treat two quite different problems related to changes of complex structures on K\"ahler manifolds by using global geometric method. First, by using operators from Hodge theory on compact K\"ahler manifold, we present a closed explicit…

Algebraic Geometry · Mathematics 2018-03-06 Kefeng Liu , Shengmao Zhu

In this paper, we treat moduli spaces of parabolic connections. We take \'etale coverings of the moduli spaces, and we construct a Hamiltonian structure of an algebraic vector field determined by the isomonodromic deformation for each…

Algebraic Geometry · Mathematics 2021-03-30 Arata Komyo

We present a two-step hybrid reinforcement learning (RL) policy that is designed to generate interpretable and robust hierarchical policies on the RL problem with graph-based input. Unlike prior deep reinforcement learning policies…

Machine Learning · Computer Science 2022-10-20 Tongzhou Mu , Kaixiang Lin , Feiyang Niu , Govind Thattai

The goal of this paper is to study the theory of last multipliers in the framework of complex manifolds with a fixed holomorphic volume form. The motivation of our study is based on the equivalence between a holomorphic ODE system and an…

Differential Geometry · Mathematics 2016-02-02 Mircea Crasmareanu , Cristian Ida , Paul Popescu