Our goal is to boost our research output for 2023 by √2 over our previous year. We measure our research output by SNIP points, which are described in our Journals page. Help us reach our target of 28 points for this year.

Published
Submitted
Arxiv
Drafts
Concept
Target
18.92
30.18
11.62
11.43
11.02

Arxiv

  • The mathematical structure of innovation

    Theory of innovation

    TFT. FinkITI. Teimouri 3.04 Arxiv for Science Advances

    Recursive structure of innovation

    A theoretical model of recursive innovation suggests that new technologies are recursively built up from new combinations of existing ones.

  • Some new results on the higher energies I

    Number theory

    ISI. Shkredov 2.43 Arxiv for Geometric and Functional Analysis

    Higher energies

    Generalising the recent Kelley–Meka result on sets avoiding arithmetic progressions of length three leads to developments in the theory of the higher energies.

  • Topological quantum dark matter via global anomaly cancellation

    High energy physics

    JWJ. Wang 2.29 Arxiv for Physical Review Letters

    Topological dark matter

    Sterile neutrinos are replaced by topological order as dark matter candidates to counterbalance the Standard Model’s gravitational anomalies.

  • Engineered complete intersections: slightly degenerate Bernstein-Kouchnirenko-Khovanskii

    Algebraic geometry

    AEA. Esterov 2 Arxiv for Journal of Combinatorial Theory. Series B

    Slight degenerations

    The tools used to study polynomial equations with indeterminate coefficients are extended to some important cases with interrelated ones.

  • Algebraic geometry

    1.83 Arxiv for Advances in Mathematics

    Schön complete intersections

    A uniform approach to a class of varieties is described that includes important types of objects from geometry, optimisation and physics.

  • Number theory

    1.71 Arxiv for Journal of Number Theory

    Ample and pristine numbers

    Parallels between the perfect and abundant numbers and their recursive analogs point to deeper structure in the recursive divisor function.

  • Algebraic geometry

    1.22 Arxiv for American Journal of Mathematics

    Symmetric spatial curves

    We study the geometry of generic spatial curves with a symmetry in order to understand the Galois group of a family of sparse polynomials.

  • Number theory

    1.05 Arxiv for Proceedings of the American Mathematical Society

    Recursive divisor properties

    The recursive divisor function has a simple Dirichlet series that relates it to the divisor function and other standard arithmetic functions.

  • Evolvability

    0.99 Arxiv for Journal of Physics A

    Flowers of immortality

    The eigenvalues of the mortality equation fall into two classes—the flower and the stem—but only the stem eigenvalues control the dynamics.

  • Quantum physics

    0.76 Arxiv for Physical Review Letters

    Regularising CRT

    Charge conjugation C, space reflection R, and time-reversal T operators are regularised in a quantum many-body Hilbert space on a discrete lattice.

  • Condensed matter theory

    0.62 Arxiv for EPL

    Counting free fermions

    We link the statistical properties of one-dimensional systems of free fermions initialised in states of either half- or alternating-occupancy.

  • High energy physics

    0.57 Arxiv for Physical Review Letters

    C, P and T in fractions

    Charge-conjugation, space-parity and time-reversal symmetries are shown to form noncommutative groups, including the order-16 Pauli group.

  • Computational linguistics

    0.5 Arxiv for AINL 2023

    Cross-lingual knowledge

    Models trained on a Russian topical dataset, of knowledge-grounded human-human conversation, are capable of real-world tasks across languages.

  • Condensed matter theory

    0.48 Arxiv for Physical Review X

    Non-reciprocal breather

    Producing the first examples of breathing solitons in one-dimensional non-reciprocal media allows their propagation dynamics to be analysed.

  • High energy physics

    0.46 Arxiv for Physical Review Letters

    An 8-fold way for CRT

    Varying the spacetime dimensions fermions occupy shows charge-conjugation C, space-reflection R and time-reversal T symmetries are 8-fold periodic.

  • 0.17 Arxiv for International Journal of Data Science in the Mathematical Sciences

    Machine learning polytopes

    A supervised machine of learning lattice polytopes predicts properties of volume, dual volume, and reflexivity with up to 100% accuracy.

  • AI-assisted maths

    Arxiv

    Deep learning based discovery of integrable systems

    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-precision numerical solution to the Yang-Baxter equation within a specified class. Then, using an auxiliary system of algebraic equations, [Q2, Q3] = 0, and the numerical value of the Hamiltonian obtained via deep learning as a seed, we reconstruct the entire Hamiltonian family, forming an algebraic variety. We illustrate our presentation with three- and four-dimensional spin chains of difference form with local interactions. Remarkably, all discovered Hamiltonian families form rational varieties.” . It is not our format but it is hidden page for my grant proposal. Fo rthe real one I will write those short descriptions.

  • Quantum physics

    Arxiv

    Optimal transfer

    We use the quantum brachistochrone method to design an optimal control strategy for the fastest quantum state transfer in long qubit chains.

  • Condensed matter theory

    Arxiv

    Topological boundary

    We show that Weyl fermions and anomalous topological order in 4 dimensions can live on the edge of the same 5-dimensional superconductor.

  • Algebraic geometry

    Arxiv

    Linearising actions

    We give a solution of the linearisation problem in the Cremona group of rank two over an algebraically closed field of characteristic zero.

  • High energy physics

    Arxiv

    A new leptogenesis

    We propose that dark matter consists of topological order, so gapped anyon excitations decay to generate the Standard Model's lepton asymmetry.

Submitted

  • Characterizing contaminant noise in barcoded perturbation experiments

    Synthetic biology

    FSF. Sheldon 3.06 Sub. to Proceedings of the National Academy of Sciences of the USA

    Cell soup in screens

    Bursting cells can introduce noise in transcription factor screens, but modelling this process allows us to discern true counts from false.

  • Biological logics are restricted

    Combinatorics

    TFT. FinkRHR. Hannam 2.65 Sub. to National Science Review

    In life, there are few rules

    The bipartite nature of regulatory networks means gene-gene logics are composed, which severely restricts which ones can show up in life.

  • Regulatory motifs: structural and functional building blocks of genetic computation

    Combinatorics

    TFT. Fink 2.44 Sub. to Proceedings of the National Academy of Sciences of the USA

    Structure of genetic computation

    The structural and functional building blocks of gene regulatory networks correspond, which tell us how genetic computation is organised.

  • On the number of biologically valid logics

    Combinatorics

    TFT. Fink 2.44 Sub. to Proceedings of the National Academy of Sciences of the USA

    Biological logics are restricted

    The fraction of logics that are biologically permitted can be bounded and shown to be tiny, which makes inferring them from experiments easier.

  • Evolvability

    2.12 Sub. to Nature Ageing

    I want to be forever young

    The mortality equation governs the dynamics of an evolving population with a given maximum age, offering a theory for programmed ageing.

  • Combinatorics

    1.53 Sub. to Journal of Algebraic Combinatorics

    Representation for sum-product

    A new way to estimate indices via representation theory reveals links to the sum-product phenomena and Zaremba’s conjecture in number theory.

  • Number theory

    1.52 Sub. to Journal of the American Mathematical Society

    Bounding Zaremba’s conjecture

    Using methods related to the Bourgain–Gamburd machine refines the previous bound on Zaremba’s conjecture in the theory of continued fractions.

  • Algebraic geometry

    1.27 Sub. to Journal of the European Mathematical Society

    Permuting the roots

    The Galois group of a typical rational function is described and similar problems solved using the topology of braids and tropical geometry.

  • Number theory

    1.04 Sub. to Journal of Number Theory

    Counting recursive divisors

    Three new closed-form expressions give the number of recursive divisors and ordered factorisations, which were until now hard to compute.

  • Statistical mechanics

    0.89 Sub. to Physica D: Nonlinear Phenomena

    Fredholm meets Toeplitz

    A new approach to the large distance asymptotic of the finite-temperature deformation is discussed for a sine-kernel Fredholm determinant.

  • Representation theory

    0.89 Sub. to Journal of Functional Analysis

    Infinite dimensional irreducibility

    The criteria of irreducibility of representations of the inductive limit of certain general linear groups acting on three infinite rows.

  • Representation theory

    0.76 Sub. to Journal of Topology and Analysis

    Group representation irreducibility

    A general approach to proving the irreducibility of representations of infinite-dimensional groups within the frame of Ismagilov's conjecture.

  • Number theory

    0.67 Sub. to Duke Mathematical Journal

    Sum-product with few primes

    For a finite set of integers with few prime factors, improving the lower bound on its sum and product sets affirms the Erdös-Szemerédi conjecture.

  • Algebraic geometry

    0.66 Sub. to Algebraic Geometry

    Sparse singularities

    Geometric properties, including delta invariants, are computed for singular points defined by polynomials with indeterminate coefficients.

  • AI-assisted maths

    0.39 Sub. to Machine Learning: Science and Technology

    Learning to be Simple

    Neural networks classify simple finite groups by generators, unlike earlier methods using Cayley tables, leading to a proven explicit criterion.

  • String theory

    0.34 Sub. to Communications in Mathematical Physics

    Futaki for reflexives

    We compute Futaki invariants for gauge theories from D3-branes that probe toric Calabi-Yau singularities arising from reflexive polytopes.

  • 0.33 Sub. to ACL Rolling Review

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  • 0.33 Sub. to International Conference on Machine Learning

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  • 0.26 Sub. to ACL Rolling Review

    From words to blocks

    Combining a language model with reinforcement learning enables object construction in a Minecraft-like environment from natural language instructions.

  • 0.25 Sub. to International Conference on Machine Learning

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  • 0.17 Sub. to Conference on Neural Information Processing Systems

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  • 0.14 Sub. to Conference on Neural Information Processing Systems

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  • AI-assisted maths

    Sub. to Harvard Data Science Review

    Convolution in topology

    Using Inception, a convolutional neural network, we predict certain divisibility invariants of Calabi-Yau manifolds with up to 90% accuracy.

Published

  • Uncertainty Guided Global Memory Improves Multi-Hop Question Answering

    Machine learning

    MBM. BurtsevAS 2.4 Meeting of the Association for Computational Linguistics (ACL), in press

    Guided by uncertainty

    A new two-stage method addresses challenges in the natural language processing of long texts using transformers with self-attention mechanisms.

  • Number of attractors in the critical Kauffman model is exponential

    Statistical physics

    TFT. FinkFSF. Sheldon 2.29 Physical Review Letters

    Kauffman cracked

    Surprisingly, the number of attractors in the critical Kauffman model with connectivity one grows exponentially with the size of the network.

  • On some multiplicative properties of large difference sets

    Number theory

    ISI. Shkredov 1.78 Canadian Journal of Mathematics

    Multiplicativity of sets

    Expanding the known multiplicative properties of large difference sets yields a new, quantitative proof on the structure of product sets.

  • John Keith Stuart McKay: 1939-2022

    Group theory

    YHY. He 1.51 Bulletin of the London Mathematical Society, in press

    On John McKay

    This obituary celebrates the life and work of John Keith Stuart McKay, highlighting the mathematical miracles for which he will be remembered.

  • Linear algebra

    1.42 Linear Algebra and its Applications

    Infinite parallelotope

    We study the geometry of finite dimensional space as the dimension grows to infinity with an accent on the height of the parallelotope.

  • Combinatorics

    1.3 In press Finite Fields and Their Applications

    Quadratic residues

    Additive combinatorics sheds light on the distribution of the set of squares in the prime field, revealing a new upper bound for the number of gaps.

  • Combinatorics

    1.3 Finite Fields and Their Applications

    Ungrouped machines

    A new connection between continued fractions and the Bourgain–Gamburd machine reveals a girth-free variant of this widely-celebrated theorem.

  • Combinatorics

    1.24 Discrete Mathematics

    Set additivity and growth

    The additive dimension of a set, which is the size of a maximal dissociated subset, is closely connected to the rapid growth of higher sumsets.

  • Statistical physics

    1.09 Physical Review Research

    Multiplicative loops

    The dynamics of the Kauffman network can be expressed as a product of the dynamics of its disjoint loops, revealing a new algebraic structure.

  • Number theory

    1.04 Journal of Number Theory

    Recursively divisible numbers

    Recursively divisible numbers are a new kind of number that are highly divisible, whose quotients are highly divisible, and so on, recursively.

  • AI-assisted maths

    0.82 Neural Computation

    Free energy and learning

    Using the free energy principle to derive multiple theories of associative learning allows us to combine them into a single, unifying framework.

  • Number theory

    0.81 Geometric and Functional Analysis

    Random Chowla conjecture

    The distribution of partial sums of a Steinhaus random multiplicative function, of polynomials in a given form, converges to the standard complex Gaussian.

  • Combinatorics

    0.77 Journal of Algebraic Combinatorics

    The popularity gap

    A cyclic group with small difference set has a nonzero element for which the second largest number of representations is twice the average.

  • Machine learning

    0.73 MIT Sloan Management Review

    The limits of LLMs

    Large language models like ChatGPT can generate human-like text but businesses that overestimate their abilities risk misusing the technology.

  • General relativity

    0.64 Journal of High Energy Physics

    Absorption with amplitudes

    How gravitational waves are absorbed by a black hole is understood, for the first time, through effective on-shell scattering amplitudes.

  • AI-assisted maths

    0.52 Journal of Symbolic Computation

    AI for arithmetic curves

    AI can predict invariants of low genus arithmetic curves, including those key to the Birch-Swinnerton-Dyer conjecture—a millennium prize problem.

  • Machine learning

    0.52 Journal of Symbolic Computation

    Neurons on amoebae

    Machine-learning 2-dimensional amoeba in algebraic geometry and string theory is able to recover the complicated conditions from so-called lopsidedness.

  • Computational linguistics

    0.5 EMLP conference, in press

    Better together

    Knowledge graph completion methods based on language models are boosted by adding information on the neighbourhoods of nodes to the graph.

  • Machine learning

    0.44 Meeting for the Association of Computational Linguistics

    DeepPavlov dream

    A new open-source platform is specifically tailored for developing complex dialogue systems, like generative conversational AI assistants.

  • Machine learning

    0.43 Nucleic Acids Research

    Speaking DNA

    A family of transformer-based DNA language models can interpret genomic sequences, opening new possibilities for complex biological research.

  • Quantum field theory

    0.42 Journal of High Energy Physics

    Peculiar betas

    The beta function for a class of sigma models is not found to be geometric, but rather has an elegant form in the context of algebraic data.

  • String theory

    0.4 Physics Letters B

    World in a grain of sand

    An AI algorithm of few-shot learning finds that the vast string landscape could be reduced by only seeing a tiny fraction to predict the rest.

  • Gravity

    0.38 Physical Review Letters

    Black hole symmetry

    Effective field theories for Kerr black holes, showing the 3-point Kerr amplitudes are uniquely predicted using higher-spin gauge symmetry.

  • Condensed matter theory

    0.36 Physical Review Research

    Mobile impurity

    Explicit computation of injection and ejection impurity’s Green’s function reveals a generalisation of the Kubo-Martin-Schwinger relation.

  • Algebraic geometry

    0.32 Journal of High Energy Physics

    Bundled Laplacians

    By approximating the basis of eigenfunctions, we computationally determine the harmonic modes of bundle-valued Laplacians on Calabi-Yau manifolds.

  • Condensed matter theory

    0.32 SciPost Physics

    Spin diffusion

    The spin-spin correlation function of the Hubbard model reveals that finite temperature spin transport in one spatial dimension is diffusive.

  • Algebraic geometry

    0.26 Advances in Theoretical and Mathematical Physics

    Analysing amoebae

    Genetic symbolic regression methods reveal the relationship between amoebae from tropical geometry and the Mahler measure from number theory.

  • AI-assisted maths

    0.25 J Comput Algebra

    AI for cluster algebras

    Investigating cluster algebras through the lens of modern data science reveals an elegant symmetry in the quiver exchange graph embedding.

  • AI-assisted maths

    0.25 Journal of Physics A

    Learning 3-manifolds

    3-manifolds represented as isomorphism signatures of their triangulations and associated Pachner graphs are analysed with machine learning.

  • Number theory

    0.24 Experimental Mathematics

    Elliptical murmurations

    Certain properties of the bivariate cubic equations used to prove Fermat’s last theorem exhibit flocking patterns, machine learning reveals.

  • Condensed matter theory

    0.23 Physical Review A

    Spin-charge separation

    A transformation for spin and charge degrees of freedom in one-dimensional lattice systems allows direct access to the dynamical correlations.

  • Algebraic geometry

    0.22 Physics Letters B

    Genetic polytopes

    Genetic algorithms, which solve optimisation problems in a natural selection-inspired way, reveal previously unconstructed Calabi-Yau manifolds.

  • AI-assisted maths

    0.22 Advances in Theoretical and Mathematical Physics

    Clustered cluster algebras

    Cluster variables in Grassmannian cluster algebras can be classified with HPC by applying the tableaux method up to a fixed number of columns.

  • 0.2 International Journal of Data Science in the Mathematical Sciences

    AI for real quadratic fields

    Supervised learning experiments involving real quadratic fields lead to machine-learned formulas for class numbers 1, 2 and 3, for our dataset.

  • AI-assisted maths

    0.2 Physics Letters B

    Computing Sasakians

    Topological quantities for the Calabi-Yau link construction of G2 manifolds are computed and machine learnt with high performance scores.

  • AI-assisted maths

    0.18 Advances in Applied Clifford Algebras

    Clifford invariants by ML

    Coxeter transformations for root diagrams of simply-laced Lie groups are exhaustively computed then machine learned to very high accuracy.

  • Machine learning

    Proceedings of the AAAI Conference

    BERT enhanced with recurrence

    The quadratic complexity of attention in transformers is tackled by combining token-based memory and segment-level recurrence, using RMT.