Results 1 to 10 of about 219,253 (144)
Git Re-Basin: Merging Models modulo Permutation Symmetries [PDF]
International Conference on Learning Representations, 2022 The success of deep learning is due in large part to our ability to solve certain massive non-convex optimization problems with relative ease. Though non-convex optimization is NP-hard, simple algorithms -- often variants of stochastic gradient descent --
Samuel K. Ainsworth +2 more
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Permutation Equivariant Graph Framelets for Heterophilous Graph Learning [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2023 The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network (GNN) models and suggests aggregations beyond the one-hop neighborhood.
Jianfei Li +4 more
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Permutation Equivariant Neural Functionals [PDF]
Neural Information Processing Systems, 2023 This work studies the design of neural networks that can process the weights or gradients of other neural networks, which we refer to as neural functional networks (NFNs).
Allan Zhou +7 more
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From Permutation Patterns to the Periodic Table [PDF]
ریاضی و جامعه, 2023 (The above abstract has been extracted by the translator from the original article (L. Pudwell, From Permutation Patterns to the Periodic Table, Notices of the American Mathematical Society, 67 994–1001.))Abstract: Permutation patterns is a burgeoning ...
Saeid Alikhani, Maryam Safazadeh
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Comparing network structures on three aspects: A permutation test.
Psychological methods, 2022 Network approaches to psychometric constructs, in which constructs are modeled in terms of interactions between their constituent factors, have rapidly gained popularity in psychology.
Claudia D van Borkulo +7 more
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Greedy Relaxations of the Sparsest Permutation Algorithm [PDF]
Conference on Uncertainty in Artificial Intelligence, 2022 There has been an increasing interest in methods that exploit permutation reasoning to search for directed acyclic causal models, including the"Ordering Search"of Teyssier and Kohler and GSP of Solus, Wang and Uhler.
Wai-yin Lam, Bryan Andrews, J. Ramsey
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IEEE Access, 2022 Privacy is a serious concern related to sharing videos or images among people over the Internet. As a method to preserve images’ privacy, chaos-based image encryption algorithms have been used widely to fulfil such a requirement.
Jameel Arif +6 more
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International Journal of Computers Communications & Control, 2022 For exploring the meaning of the power set in evidence theory, a possible explanation of power set is proposed from the view of Pascal’s triangle and combinatorial number. Here comes the question: what would happen if the combinatorial number is replaced
Yong Deng
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ordpy: A Python package for data analysis with permutation entropy and ordinal network methods. [PDF]
Chaos, 2021 Since Bandt and Pompe's seminal work, permutation entropy has been used in several applications and is now an essential tool for time series analysis.
Arthur A. B. Pessa, H. V. Ribeiro
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Chaotic Color Image Encryption Based on Eight-Base DNA-Level Permutation and Diffusion
Entropy, 2023 Images, as a crucial information carrier in the era of big data, are constantly generated, stored, and transmitted. Determining how to guarantee the security of images is a hot topic in the information security community. Image encryption is a simple and
Wei Fan, Taiyong Li, Jianan Wu, Jiang Wu
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