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  2. Mamba (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Mamba_(deep_learning...

    To enable handling long data sequences, Mamba incorporates the Structured State Space sequence model (S4). [2] S4 can effectively and efficiently model long dependencies by combining continuous-time, recurrent, and convolutional models. These enable it to handle irregularly sampled data, unbounded context, and remain computationally efficient ...

  3. Paper model - Wikipedia

    en.wikipedia.org/wiki/Paper_model

    Paper models, also called card models or papercraft, are models constructed mainly from sheets of heavy paper, ... from cars and cargo trucks to space shuttles, are a ...

  4. Vector space model - Wikipedia

    en.wikipedia.org/wiki/Vector_space_model

    (Early paper of Salton using the term-document matrix formalization) G. Salton, A. Wong, and C. S. Yang (1975), "A Vector Space Model for Automatic Indexing" Communications of the ACM, vol. 18, nr. 11, pages 613–620. (Article in which a vector space model was presented)

  5. State-space representation - Wikipedia

    en.wikipedia.org/wiki/State-space_representation

    The state space or phase space is the geometric space in which the axes are the state variables. The system state can be represented as a vector , the state vector . If the dynamical system is linear, time-invariant, and finite-dimensional, then the differential and algebraic equations may be written in matrix form.

  6. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space. Word2vec can use either of two model architectures to produce these distributed representations of words: continuous bag of words (CBOW ...

  7. Möbius strip - Wikipedia

    en.wikipedia.org/wiki/Möbius_strip

    Therefore, the space of Euclidean lines is a punctured projective plane, which is one of the forms of the open Möbius strip. [63] The space of lines in the hyperbolic plane can be parameterized by unordered pairs of distinct points on a circle, the pairs of points at infinity of each line. This space, again, has the topology of an open Möbius ...

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  9. Latent diffusion model - Wikipedia

    en.wikipedia.org/wiki/Latent_Diffusion_Model

    The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.

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