Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

25.0%50.0%75.0%100.0% · Feb 199419922001200920172026
48 results for adjoint method

Let G be a real compact connected simple Lie group, and g its Lie algebra. We study the problem of determining, from root data, when a sum of adjoint orbits in g, or a product of conjugacy classes in G, contains an open set. Our general methods allow us to determine exactly which sums of adjoint orbits in su(m) and pro…

2009-10-09abs ↗pdf ↗

Adjoint sampler targets infinite-dimensional function spaces for efficient sampling.

problem Limited theory and algorithms for sampling infinite-dimensional function spaces.
method Adjoint Sampler for infinite-dimensional function spaces based on stochastic maximum principle.
result FAS achieves superior performance in synthetic and real systems.

New estimator for SDEs is shown to be an adjoint state method.

problem Estimating gradients for overparameterized SDEs efficiently.
method Demonstrates generator gradient estimator as an adjoint state method.
result Generator gradient estimator is an adjoint state method for SDEs.

We use AD to compute gradients for complex functionals in stochastic model calibration.

problem Computing gradients for functions involving expectations in stochastic models.
method Automatic Adjoint Differentiation and parallelization.
result Faster and easier to implement approaches for gradient computation.

It is known that the Schrödinger flow on a complex Grassmann manifold is equivalent to the matrix non-linear Schrödinger equation and the Ferapontov flow on a principal Adjoint U(n)-orbit is equivalent to the nn-wave equation. In this paper, we give a systematic method to construct integrable geometric curve flows on …

2001-08-22abs ↗pdf ↗

Abstracts a construction of boundary triplets for self-adjoint elliptic problems.

problem Computing the index of families of self-adjoint elliptic boundary problems.
method Abstract axiomatic version of boundary triplets and their applications.
result Analytic proof of index theorem and computation of index differences.

Prove integrality of genus-gg indices with adjoint Reidemeister torsions for twist knots and meridians.

problem Prove integrality of genus-gg indices with adjoint Reidemeister torsions for twist knots and meridians.
method Consider the sum of the adjoint Reidemeister torsions and prove integrality for twist knots and meridians.
result Prove integrality of genus-gg indices with adjoint Reidemeister torsions for twist knots and meridians.

We give explicit descriptions of the adjoint group of the Coxeter quandle QWQ_W associated with an arbitrary Coxeter group WW. The adjoint group of QWQ_W turns out to be an intermediate group between WW and the corresponding Artin group AWA_W, and fits into a central extension of WW by a finitely generated free abel…

2017-02-23abs ↗pdf ↗

Investigates the relationship between ResNets and Neural ODEs, quantifying their closeness and providing training methods.

problem Quantifying the distance between ResNet dynamics and Neural ODE solutions.
method Bounding the distance between hidden state trajectories and Neural ODE solutions, using gradient descent and Heun's method.
result Gradient descent and Heun's method can implicitly regularize ResNets towards Neural ODEs, especially for smooth residual functions.

Paper analyzes double twist knots using adjoint hyperbolic torsion polynomial.

problem Determining the genus and fibering of double twist knots.
method Uses adjoint hyperbolic torsion polynomial to analyze double twist knots.
result The adjoint hyperbolic torsion polynomial determines the genus and fibering of double twist knots.

Derives adjoint formulas for matrix operations and applies them to specific cases.

problem Computing adjoints for matrix operations and specific matrix types.
method Derives adjoint formulas for matrix operations and applies them to specific cases.
result Closed-form expressions for adjoints in specific matrix types.

ACA method improves gradient estimation for neural ODEs, reducing error and training time.

problem Inaccurate gradient estimation methods hinder the performance of neural ODEs on benchmark tasks.
method Adaptive Checkpoint Adjoint (ACA) method that applies trajectory checkpointing, deletes redundant components, and supports adaptive solvers.
result ACA reduces error rate by half and training time by half compared to adjoint and naive methods on image classification tasks.

We compute the Hochschild-Kostant-Rosenberg decomposition of the Hochschild cohomology of generalised Grassmannians, i.e. partial flag varieties associated to maximal parabolic subgroups in a simple algebraic group. We explain how the decomposition is concentrated in global sections for so-called (co)minuscule and (co)…

2019-11-21abs ↗pdf ↗

The paper explores self-adjointness of Laplace-Beltrami operator on special geometric manifolds.

problem Characterizing self-adjoint extensions of the Laplace-Beltrami operator on αα-Grushin manifolds.
method Introducing an exotic calculus of pseudodifferential operators adapted to the geometry of the singularity.
result Criterion for essential self-adjointness and determination of several self-adjoint extensions.

Study extends Vogel's universality to torus knots in adjoint representation.

problem Applying Vogel's universality to knot invariants in adjoint representation theory.
method Extending Vogel's parameters to include torus knots T[m,n]T[m,n] and focusing on T[4,n]T[4,n] with odd nn.
result Unified description of adjoint invariants for torus knots T[4,n]T[4,n] with odd nn.

QAM uses adjoint matching to optimize continuous-action RL policies efficiently.

problem Efficient optimization of expressive diffusion or flow-matching policies with respect to a Q-function.
method QAM leverages adjoint matching to bypass the numerical instability of backpropagation through multi-step denoising processes.
result QAM consistently outperforms prior approaches on hard, sparse reward tasks in offline and offline-to-online RL.

Unified framework for training diffusion and flow models to sample from target distributions.

problem Training diffusion and flow models to sample from target distributions defined by exponential tilting.
method Unified framework combining stochastic optimal control and non-equilibrium thermodynamics perspectives.
result Unified bias-variance decompositions and theoretical support for adjoint-based methods.

We consider magnetic geodesic flows of the normal metrics on a class of homogeneous spaces, in particular (co)adjoint orbits of compact Lie groups. We give the proof of the non-commutative integrability of flows and show, in addition, for the case of (co)adjoint orbits, the usual Liouville integrability by means of ana…

2006-09-02abs ↗pdf ↗

The study confirms essential self-adjointness for certain differential operators on manifolds.

problem Essential self-adjointness of differential operators on closed manifolds.
method Analyzing the Hamiltonian flow of the symbol of differential operators.
result The conjecture that certain differential operators are essentially self-adjoint if their Hamiltonian flow is complete.

The paper presents a method to infer unknown forcing functions in differential equations using Gaussian processes and adjoints.

problem Inferring unknown forcing functions in differential equations from noisy observations.
method Using adjoint methods to efficiently infer Gaussian process (GP) driven differential equations, with truncated basis expansions of the GP kernel.
result Efficient Bayesian inference of forcing functions modeled as GPs using adjoints, with lower computation than MCMC methods.

Let ΔΔ be a linear differential operator acting on the space of densities of a given weight $\lo$ on a manifold MM. One can consider a pencil of operators $\hPi(Δ)=\{Δ_ł\}$ passing through the operator ΔΔ such that any ΔłΔ_ł is a linear differential operator acting on densities of weight łł. This pencil can be iden…

2013-01-28abs ↗pdf ↗

We study the Gaffney Laplacian on a vector bundle equipped with a compatible metric and connection over a Riemannian manifold that is possibly geodesically incomplete. Under the hypothesis that the Cauchy boundary is polar, we demonstrate the self-adjointness of this Laplacian. Furthermore, we show that negligible boun…

2014-09-18abs ↗pdf ↗

The study finds Lagrangian submanifolds in adjoint semisimple orbits for real forms.

problem Characterizing Lagrangian submanifolds in adjoint semisimple orbits.
method Analyzing real flags and orbits of real forms with respect to symplectic forms.
result Classification of infinitesimally tight Lagrangian submanifolds in the compact case and Lagrangian submanifolds in the complex case.

Unified framework extends adjoint Schrödinger bridge sampler to discrete spaces.

problem Challenges in learning discrete neural samplers due to gradients and combinatorial complexity.
method Introduces discrete ASBS, a unified framework that extends adjoint Schrödinger bridge sampler to discrete spaces.
result Empirically, discrete ASBS achieves competitive sample quality with significant advantages in training efficiency and scalability.