Study detects anomalies in financial markets using GNN and nonextensive entropy.
arXiv research
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We analyze global anomalies for elementary Type II strings in the presence of D-branes. Global anomaly cancellation gives a restriction on the D-brane topology. This restriction makes possible the interpretation of D-brane charge as an element of K-theory.
TADA detects anomalies in time series using topological data analysis.
Abelian gerbes and twisted bundles describe the topology of the NS-NS 3-form gauge field strength H. We review how they have been usefully applied to study and resolve global anomalies in open string theory. Abelian 2-gerbes and twisted nonabelian gerbes describe the topology of the 4-form field strength G of M-theory.…
Human analysts that use anomaly detection systems in practice want to retain the use of simple and explainable global anomaly detectors. In this paper, we propose a novel human-in-the-loop learning algorithm called GLAD (GLocalized Anomaly Detection) that supports global anomaly detectors. GLAD automatically learns the…
We derive a formula for the global gravitational anomaly of the self-dual field theory on an arbitrary compact oriented Riemannian manifold. Along the way, we uncover interesting links between the theory of determinant line bundles of Dirac operators, Siegel theta functions and a functor constructed by Hopkins and Sing…
The index theorem connects anomalies on a domain wall to global integrals.
A new formulation of the Anomaly flow in the case of vanishing slope parameter is given, where the dependence on the global section of the canonical bundle appears only in the initial data. This allows a natural unification of the Anomaly flow with the Kähler-Ricci flow.
We study global gravitational anomalies in type IIB string theory with nontrivial middle cohomology. This requires the study of the action of diffeomorphisms on this group. Several results and constructions, including some recent vanishing results via elliptic genera, make it possible to consider this problem. Along th…
The main new result here is the cancellation of global anomalies in the Type I superstring, with and without D-branes. Our argument here depends on a precise interpretation of the 2-form abelian gauge field using KO-theory; then the anomaly cancellation follows from a geometric form of the full Atiyah-Singer index theo…
By developing a generalized cobordism theory, we explore the higher global symmetries and higher anomalies of quantum field theories and interacting fermionic/bosonic systems in condensed matter. Our essential math input is a generalization of Thom-Madsen-Tillmann spectra, Adams spectral sequence, and Freed-Hopkins's t…
Study evaluates financial anomaly detection methods on Canadian stock market.
This paper shows how to construct anomaly free world sheet actions in string theory with -branes. Our method is to use Deligne cohomology and bundle gerbe theory to define geometric objects which are naturally associated to -branes and connections on them. The holonomy of these connections can be used to cancel g…
An algorithm detects anomalies based on human perception principles.
Meta-learning improves anomaly detection with few labeled instances.
Machine-learned anomaly detection in new-physics searches needs calibration and look-elsewhere correction
New approach reduces shape optimization anomalies and improves design quality.
Extract anomalies from 5D SCFTs using extra-dimensional η-invariants.
To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation. However, anomaly detection for these seasonal KPIs with va…
A new algebraic method extracts symmetry anomalies from 5D SCFTs.
In this note we revisit the subject of anomaly cancelation in string theory and M-theory on manifolds with String structure and give three observations. First, that on String manifolds there is no E8 x E8 global anomaly in heterotic string theory. Second, that the description of the anomaly in the phase of the M-theory…
Cohomological methods are applied for the special set of solutions corresponding to rotating branes in arbitrary dimensions, AdS black holes (which can be embedded in ten or eleven dimensions), and gauge supergravities. A new class of solutions is proposed, the Hilbert modular varieties, which consist of the -fold …
Anomaly detection aims to distinguish observations that are rare and different from the majority. While most existing algorithms assume that instances are i.i.d., in many practical scenarios, links describing instance-to-instance dependencies and interactions are available. Such systems are called attributed networks. …
Study fermionic theories, their anomalies, and modular transformations.
A new method detects anomalies in multivariate streams without unit dependence.
Tensor networks improve anomaly detection efficiency.
CrossAD detects anomalies in time series data by considering cross-scale associations and cross-window modeling.
CCE improves anomaly detection metrics by measuring both confidence and consistency.
Summarizes quantum field theories with discrete symmetry, classifying representations and anomalies.
Proposes methods to improve interpretability of Isolation Forest for anomaly detection.
A recent paper by Moore and Witten explained that Ramond-Ramond fields in Type II superstring theory have a global meaning in K-theory. In this note we amplify and generalize some points raised in that paper. In particular, we express the coupling of the Ramond-Ramond fields to D-branes in a K-theoretic framework and s…
We survey the Hirzebruch signature theorem as a special case of the Atiyah-Singer index theorem. The family version of the Atiyah-Singer index theorem in the form of the Riemann-Roch-Grothendieck-Quillen (RRGQ) formula is then applied to the complexified signature operators varying along the universal family of ellipti…
Autoencoders misidentify anomalies due to data topology.
Investigates how extreme temperature events affect global equity portfolios.
STRIC detects anomalies in time series by analyzing residual signals.
GAMLA learns manifold structures with auto-encoding for global insights.
Reformulates mod-two APS index using domain-wall fermion.
Deep neural networks predict CVCM track circuit failures early.
Enhanced Extended Isolation Forest (EIF+) improves anomaly detection and provides interpretable explanations.
This paper discusses challenges and opportunities in vessel behavior detection using machine and deep learning.
There are fundamental open problems in the precise global nature of RR-field tadpole cancellation conditions in string theory. Moreover, the non-perturbative lift as M5/MO5-anomaly cancellation in M-theory had been based on indirect plausibility arguments,lacking a microscopic underpinning in M-brane charge quantizatio…
We show that the baryon number of N=2 supersymmetric QCD can be twisted in order to couple the topological field theory of non-abelian monopoles to -structures. To motivate the construction, we also consider some aspects of the twisting procedure as a gauging of global currents in two and four dimensions, in pa…
Constructs a path integral for fermionic SPTs, solving anomalies in 2+1D topological orders.
An Ensemble Anomaly Detection Framework for Risk Calculation Integrity
The Seiberg-Witten family of elliptic curves defines a Jacobian rational elliptic surface over . We show that for the -operator along the fiber the logarithm of the regularized determinant satisfies the anomaly equation of the …
Study quantum aspects of 1-form symmetries using BV-BRST cohomology.
Study quantum aspects of 1-form symmetries using BV-BRST cohomology and gerbes.
Improves anomaly detection with contaminated unlabeled data.