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HyMSS-GAD: a hybrid multi-stage framework for multi-view graph anomaly detection with structural, contextual, and geometric reasoning. [PDF]

Sci Rep
Khan W, Ebrahim N, Elloumi M, Brahim K.
europepmc   +1 more source

On the Classification of Bosonic and Fermionic One-Form Symmetries in 2 + 1 d and 't Hooft Anomaly Matching. [PDF]

Commun Math Phys
Balasubramanian M, Buican M, Radhakrishnan R.   +2 more
europepmc   +1 more source

Finite-Capacity Thermodynamics of Causal Horizons. [PDF]

Entropy (Basel)
Antiba CA.
europepmc   +1 more source

Librarian of Alexandria: A Modular Chemical Data Extraction Pipeline to Compare LLM Performance. [PDF]

J Chem Inf Model
Grougan M, Subasinghe J, Hix MA, Walker AR.   +3 more
europepmc   +1 more source

Realization of modular Galois representations in the Jacobians of modular curves

Ramanujan Journal, 2022
In this paper, we propose an improved algorithm for computing mod $\ell$ Galois representations associated to eigenforms of arbitrary levels prime to $\ell$. Precisely, we present a method to find the Jacobians of modular curves which have the smallest possible dimensions in a well-defined sense to realize the modular Galois representations.
exaly   +4 more sources

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Modular representation of autoencoder networks

2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017
An autoencoder (AE) is a nonlinear extension of principal component analysis (PCA). It can extract abstract information about input data with low dimensions by combining multiple dimensions of input data through a layered neural network. A trained AE network can be used in various applications like parameter initialization for another inference ...
Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino   +2 more
openaire   +1 more source