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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.

168,657 papers · 148 categories

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1345 · Oct 201719922001200920172026
48 results for Holographic Metasurface Transceivers

A learning algorithm optimizes beamforming for holographic transceivers in far-field communication.

problem Optimal phase-shifts for beamforming in holographic transceivers are challenging due to unknown receiver locations and large phase-shifts.
method Developed a learning algorithm using a fixed-budget multi-armed bandit framework to learn optimal phase-shifts.
result The algorithm, HoloBeam, outperforms state-of-the-art methods in beamforming optimization.

New framework aligns latent representations over-the-air using intelligent metasurfaces.

problem Heterogeneous transmitter-receiver models produce misaligned latent representations in semantic communication.
method Intelligent metasurfaces (SIM) emulate supervised and zero-shot semantic aligners directly in the wave domain.
result SIMs achieve up to 90% task accuracy in high SNR regimes, robust to low SNR.

Study improves chiral photonic metasurface design using neural networks and genetic algorithms.

problem Optimizing chiral photonic metasurfaces for high chiral dichroism and reflectivity.
method Combines neural network and genetic algorithm approaches with improved fitness functions and data augmentation.
result Demonstrates a significant increase in chiral dichroism and reflectivity.

Paper presents a fast and adaptive filter for SI suppression in full-duplex transceivers.

problem Self-interference suppression in full-duplex transceivers with nonlinearity.
method Adaptive projected subgradient method (APSM) in a reproducing kernel Hilbert space (RKHS).
result The proposed method achieves favorable digital SIC performance compared to benchmarks.

Study improves pollen detection in optical and holographic images using deep learning.

problem Improving pollen detection accuracy in holographic microscopy images.
method Used YOLOv8s for detection and MobileNetV3L for classification, addressing performance gaps through dataset expansion and automated labeling.
result Significant improvement in detection and classification performance on holographic images.

Machine learning speeds up RIS design for efficient RF components.

problem Designing reconfigurable intelligent surfaces (RIS) for efficient RF components is time-consuming and resource-intensive.
method Machine/deep learning techniques are used to reduce the computational cost and time of RIS inverse design.
result Machine learning techniques significantly reduce the time and computational cost of RIS design.

This paper derives an explicit formula for Branson's Q-curvature in even-dimensional conformal geometry. The ingredients in the formula come from the Poincare metric in one higher dimension; hence the formula is called holographic. When specialized to the conformally flat case, the holographic formula expresses Q-curva…

2007-04-13abs ↗pdf ↗

In the presence of boundaries the integrated conformal anomaly is modified by the boundary terms so that the anomaly is non-vanishing in any (even or odd) dimension. The boundary terms are due to extrinsic curvature whose exact structure in d=3d=3 and d=4d=4 has recently been identified. In this note we present a hologra…

2017-02-02abs ↗pdf ↗

New framework constructs holographic tensor networks using hyperbolic buildings.

problem Building holographic tensor networks for non-integer dimensions and fractal spaces.
method Introducing a unifying framework based on hyperbolic buildings and dualities.
result Constructs a family of bulk regions satisfying complementary recovery and Ryu-Takayanagi formula.

Any traversally generic vector flow on a compact manifold XX with boundary leaves some residual structure on its boundary $\d X$. A part of this structure is the flow-generated causality map CvC_v, which takes a region of $\d X$ to the complementary region. By the Holography Theorem from \cite{K4}, the map CvC_v allow…

2018-06-27abs ↗pdf ↗

Bit threads provide an alternative description of holographic entanglement, replacing the Ryu-Takayanagi minimal surface with bulk curves connecting pairs of boundary points. We use bit threads to prove the monogamy of mutual information (MMI) property of holographic entanglement entropies. This is accomplished using t…

2018-08-15abs ↗pdf ↗

Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs. In this work, we propose holographic embeddings (HolE) to learn compositional vector space representations of entire knowledge graphs. The proposed method is relate…

2015-10-16abs ↗pdf ↗

HGConv uses HRR to efficiently detect malware, outperforming existing methods.

problem Efficiently detecting malware with long sequences.
method Holographic Global Convolutional Networks (HGConv) utilizing Holographic Reduced Representations (HRR).
result Achieved state-of-the-art results on malware benchmarks.

Researchers create holographic super-embeddings for M5 and M2 branes.

problem No concrete examples of super-embeddings for M5 and M2 branes existed.
method Constructed explicit holographic super-embeddings of probe M5 and M2 branes into their super-AdS backgrounds.
result Explicit holographic super-embeddings of M5 and M2 branes were successfully constructed.

Representation learning is at the heart of what makes deep learning effective. In this work, we introduce a new framework for representation learning that we call "Holographic Neural Architectures" (HNAs). In the same way that an observer can experience the 3D structure of a holographed object by looking at its hologra…

2018-06-04abs ↗pdf ↗

Secure neural network inference on untrusted platforms using holographic reduced representations.

problem Secure neural network inference on untrusted platforms.
method Connectionist Symbolic Pseudo Secrets using Holographic Reduced Representations (HRR).
result Empirical robustness to attack under various threat models.

Holographic Invariant Storage uses vector architectures to ensure LLM safety at design time.

problem Mitigating context drift in large language models (LLMs) during deployment.
method Introduces Holographic Invariant Storage (HIS) protocol that combines known properties of bipolar Vector Symbolic Architectures into a design-time safety contract.
result Closed-form guarantees for single-signal recovery fidelity, continuous-noise robustness, and multi-signal capacity degradation are provided and validated.

AI enhances pollen recognition in veterinary imaging using holographic microscopy.

problem Challenges in recognizing pollen in holographic images due to speckle noise and artifacts.
method Training YOLOv8s and MobileNetV3L on dual-modality dataset, employing WGAN-SN for synthetic data augmentation.
result GAN-based augmentation improves object detection and classification in holographic images, closing the performance gap.

We prove that the boundary of the future of a surface KK consists precisely of the points pp that lie on a null geodesic orthogonal to KK such that between KK and pp there are no points conjugate to KK nor intersections with another such geodesic. Our theorem has applications to holographic screens and their asso…

2017-11-17abs ↗pdf ↗

Minkowski space is a physically important space-time for which the finding an adequate holographic description is an urgent problem. In this paper we develop further the proposal made in hep-th/0303006 for the description as a duality between Minkowski space-time and a Conformal Field Theory defined on the boundary of …

2004-05-27abs ↗pdf ↗

In this paper, we implement an optical fiber communication system as an end-to-end deep neural network, including the complete chain of transmitter, channel model, and receiver. This approach enables the optimization of the transceiver in a single end-to-end process. We illustrate the benefits of this method by applyin…

2018-04-11abs ↗pdf ↗

The holographic duality can be extended to include quantum theories with broken coordinate invariance leading to the appearance of the gravitational anomalies. On the gravity side one adds the gravitational Chern-Simons term to the bulk action which gauge invariance is only up to the boundary terms. We analyze in detai…

2005-12-18abs ↗pdf ↗

We argue that Horava-Lifshitz (HL) gravity provides the minimal holographic dual for Lifshitz-type field theories with anisotropic scaling and dynamical exponent z. First we show that Lifshitz spacetimes are vacuum solutions of HL gravity, without need for additional matter. Then we perform holographic renormalization …

2012-11-20abs ↗pdf ↗

We show that holographic renormalization of relativistic gravity in asymptotically Lifshitz spacetimes naturally reproduces the structure of gravity with anisotropic scaling: The holographic counterterms induced near anisotropic infinity take the form of the action for gravity at a Lifshitz point, with the appropriate …

2011-12-23abs ↗pdf ↗

Study on bit threads and their locking properties in holographic spacetimes.

problem Understanding the conditions under which regions can be locked in holographic spacetimes.
method Investigation of different density bounds and their implications on the locking of regions.
result Non-crossing regions can be locked under the most stringent bound, but crossing regions cannot.

Suppose that Σ=ΩΣ=\partialΩ is the nn-dimensional boundary, with positive (inward) mean curvature HH, of a connected compact (n+1)(n+1)-dimensional Riemannian spin manifold (Ωn+1,g)(Ω^{n+1},g) whose scalar curvature Rn(n+1)k2R\ge -n(n+1)k^2, for some $k\textgreater{}0$. If ΣΣ admits an isometric and isospin immersion FF into the hy…

2015-02-13abs ↗pdf ↗

The Ryu-Takayanagi (RT) formula relates the entanglement entropy of a region in a holographic theory to the area of a corresponding bulk minimal surface. Using the max flow-min cut principle, a theorem from network theory, we rewrite the RT formula in a way that does not make reference to the minimal surface. Instead, …

2016-04-01abs ↗pdf ↗

We define a holographic dual to the Donaldson-Witten topological twist of N=2\mathcal{N}=2 gauge theories on a Riemannian four-manifold. This is described by a class of asymptotically locally hyperbolic solutions to N=4\mathcal{N}=4 gauged supergravity in five dimensions, with the four-manifold as conformal boundary. Und…

2017-07-26abs ↗pdf ↗

In the first part of this paper we provide a short introduction to the AdS/CFT correspondence and to holographic renormalization. We discuss how QFT correlation functions, Ward identities and anomalies are encoded in the bulk geometry. In the second part we develop a Hamiltonian approach to the method of holographic re…

2004-04-23abs ↗pdf ↗

Hrrformer uses HRR to speed up self-attention for long sequences.

problem Infeasibility of using transformers with very long sequence lengths.
method Re-cast self-attention using Holographic Reduced Representations (HRR).
result Achieves near state-of-the-art accuracy with O(THlogH)\mathcal{O}(T H \log H) time complexity and O(TH)\mathcal{O}(T H) space complexity.

Active learning method for neural population dynamics using optogenetics.

problem Efficiently selecting neurons to stimulate for identifying neural population dynamics.
method Developed active learning procedure for low-rank regression to determine informative photostimulation patterns.
result Demonstrated a two-fold reduction in data required for predictive power using low-rank linear dynamical systems model.

We prove a universal recursive formulas for Branson's QQ-curvature of order eight in terms of lower-order QQ-curvatures, lower-order GJMS-operators and holographic coefficients. The results prove a special case of a conjecture in {arXiv:0905.3992}.

2009-12-11abs ↗pdf ↗

The holographic description in the presence of gravitational Chern-Simons term is studied. The modified gravitational equations are integrated by using the Fefferman-Graham expansion and the holographic stress-energy tensor is identified. The stress-energy tensor has both conformal anomaly and gravitational or, if re-f…

2005-09-20abs ↗pdf ↗