Search · four archives

Results for hybrid pointer network

or ask it as a questionAsk the stacks →

ArchivesarXiv PubMed bioRxiv chemRxiv

WhenAny time Past month Past year Past 5 years

OrderMost relevant Most cited Newest

21 papers · ranked by Valyu relevance

01
PPubMed14 Dec 2021
Hybrid pointer networks for traveling salesman problems optimization Hybrid pointer networks for traveling salesman problems optimization
Ahmed Stohy, Heba-Tullah Abdelhakam, Sayed Ali, Mohammed Elhenawy + 5 more
'Abdallah A. Hassan' 'Mahmoud Masoud' 'Sebastien Glaser' 'Andry Rakotonirainy' 'Seyedali Mirjalili'] In this work, we proposed a hybrid pointer network (HPN), an end-to-end deep reinforcement learning architecture is provided to tackle the travelling salesman problem (TSP). HPN builds upon graph pointer networks, an…
90relevance
02
AarXiv14 Dec 2021
Hybrid pointer networks for traveling salesman problems optimization
Ahmed Stohy, Heba-Tullah Abdelhakam, Sayed Ali, Mohammed Elhenawy + 4 more
'Abdallah A. Hassan' 'Mahmoud Masoud' 'Sébastien Glaser' 'Andry Rakotonirainy'] ABSTRACT In this work, a novel idea is presented for combinatorial optimization problems, a hybrid network, which results in a superior outcome. We applied this method to graph pointer networks [1] expanding its capabilities to a higher…
88relevance
03
PPubMed26 May 2022
Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning
Majed G. Alharbi, Ahmed Stohy, Mohammed Elhenawy, Mahmoud Masoud + 2 more
'Hamiden Abd El-Wahed Khalifa' 'Sathishkumar V. E.'] In this study, we propose a general method for tackling the Pickup and Drop-off Problem (PDP) using Hybrid Pointer Networks (HPNs) and Deep Reinforcement Learning (DRL). Our aim is to reduce the overall tour length traveled by an agent while remaining within the…
83relevance
04
BbioRxiv9 Nov 2022
Recurrent predictive coding models for associative memory employing covariance learning
Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song + 2 more
The computational principles adopted by the hippocampus in associative memory (AM) tasks have been one of the mostly studied topics in computational and theoretical neuroscience. Classical models of the hippocampal network assume that AM is performed via a form of covariance learning, where associations between…
68relevance
05
PPubMed28 Jan 2014
Cost-effective handoff scheme based on mobility-aware dual pointer forwarding in proxy mobile IPv6 networks
Seungsik Son, Jongpil Jeong
In this paper, a mobility-aware Dual Pointer Forwarding scheme (mDPF) is applied in Proxy Mobile IPv6 (PMIPv6) networks. The movement of a Mobile Node (MN) is classified as intra-domain and inter-domain handoff. When the MN moves, this scheme can reduce the high signaling overhead for intra-handoff/inter-handoff…
65relevance
06
AarXiv2022
Efficient Hybrid Network: Inducting Scattering Features
Dmitry Minskiy, Mirosław Bober
Recent work showed that hybrid networks, which combine predefined and learnt filters within a single architecture, are more amenable to theoretical analysis and less prone to overfitting in data-limited scenarios. However, their performance has yet to prove competitive against the conventional counterparts when…
63relevance
07
BbioRxiv30 Oct 2023
Extracting diamonds: Identifiability of 4-node cycles in level-1 phylogenetic networks under a pseudolikelihood coalescent model
George Tiley, Nan Liu, Claudia Solís-Lemus
Phylogenetic networks encode a broader picture of evolution by the inclusion of reticulate processes such as hybridization, introgression or horizontal gene transfer. Each reticulation event is represented by a “hybridization cycle”. Here, we investigate the statistical identifiability of the position of the hybrid…
63relevance
08
BbioRxiv17 May 2022
Network Topology Metrics Explaining Enrichment of Hybrid Epithelial Mesenchymal Phenotypes in Metastasis
Mubasher Rashid, Kishore Hari, John Thampi, Nived Krishnan Santhosh + 1 more
Epithelial to mesenchymal transition (EMT) and its reverse mesenchymal to epithelial transition (MET) are hallmarks of metastasis. Cancer cells use this reversible cellular programming to switch among Epithelial (E), Mesenchymal (M), and hybrid Epithelial/Mesenchymal (hybrid E/M) state(s) and seed tumors at distant…
62relevance
09
PPubMed14 Jun 2022
A framework for the general design and computation of hybrid neural networks
Rong Zhao, Zheyu Yang, Hao Zheng, Yujie Wu + 16 more
'Zhenzhi Wu' 'Lukai Li' 'Feng Chen' 'Seng Song' 'Jun Zhu' 'Wenli Zhang' 'Haoyu Huang' 'Mingkun Xu' 'Kaifeng Sheng' 'Qianbo Yin' 'Jing Pei' 'Guoqi Li' 'Youhui Zhang' 'Mingguo Zhao' 'Luping Shi'] There is a growing trend to design hybrid neural networks (HNNs) by combining spiking neural networks and artificial neural…
62relevance
10
BbioRxiv26 Sep 2018
Automatic adaptation of model neurons and connections to build hybrid circuits with living networks
Manuel Reyes-Sanchez, Rodrigo Amaducci, Irene Elices, Francisco B. Rodríguez + 1 more
Hybrid circuits built by creating mono- or bi-directional interactions among living cells and model neurons and synapses are an effective way to study neuron, synaptic and neural network dynamics. However, hybrid circuit technology has been largely underused in the context of neuroscience studies mainly because of the…
62relevance
11
PPubMed26 Feb 2024
Advancing brain-inspired computing with hybrid neural networks
Faqiang Liu, Hao Zheng, Songchen Ma, Weihao Zhang + 4 more
'Yansong Chua' 'Luping Shi' 'Rong Zhao'] Title: ABSTRACT Brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradigm centered on brain-computer dual-driven…
62relevance
12
AarXiv21 Jun 2026
A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA
Yancheng Zhou, Hanle Zheng, Lei Deng, Yujie Wu
Hybrid neural networks (HNNs) that integrate artificial neural networks (ANNs) with brain-inspired neural networks have achieved broad success across perception and control tasks. However, much of the current success is confined to neuron-scale hybridization, where discrete, spike-based coding fundamentally limits…
61relevance
13
PPubMed2 Feb 2021
End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip
Guanrui Wang, Songchen Ma, Yujie Wu, Jing Pei + 2 more
'Luping Shi'] Integration of computer-science oriented artificial neural networks (ANNs) and neuroscience oriented spiking neural networks (SNNs) has emerged as a highly promising direction to achieve further breakthroughs in artificial intelligence through complementary advantages. This integration needs to support…
59relevance
14
PPubMed3 Dec 2025
Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network
Bram F. Haverkort, Aida Todri-Sanial
Computing with coupled oscillators or oscillatory neural networks (ONNs) has recently attracted a lot of interest due to their potential for massive parallelism and energy-efficient computing. However, to date, ONNs have primarily been explored either analytically or through analog circuit implementations. This paper…
58relevance
15
CchemRxiv14 Jul 2025
SynCat: A light weight graph neural network model to classify chemical reactions
Authors not listed
Chemical reactions typically follow mechanistic templates and hence fall into a manageable number of clearly distinguishable classes that usually labeled by names of chemists who discovered or explored them. These ``named reactions'' form the core of reaction ontologies and are associated with specific synthetic…
56relevance
16
CchemRxiv21 Sep 2022
Water as a modifier in a hybrid coordination network glass
Søren Strandskov Sørensen, Xiangting Ren, Tao Du, Ayoub Traverson + 6 more
Chemical diversification of hybrid organic-inorganic glasses remains limited, especially compared to traditional oxide glasses, for which continuous composition variation and thus property tuning is possible through addition of weakly bonded modifier cations. In this work, we show that water addition can depolymerize…
56relevance
17
AarXiv29 Apr 2025
Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network
Bram Haverkort, Aida Todri-Sanial
Computing with coupled oscillators or oscillatory neural networks (ONNs) has recently attracted a lot of interest due to their potential for massive parallelism and energy-efficient computing. However, to date, ONNs have primarily been explored either analytically or through analog circuit implementations. This paper…
54relevance
18
CchemRxiv21 Oct 2024
Unlocking the potential of hybrid nanocomposite hydrogels: design, mechanical properties and biomedical performances
Authors not listed
Hybrid nanocomposite hydrogels consist of the homogeneous incorporation of nano-objects in a hydrogel matrix. The latter, whether made of natural or synthetic materials, possesses a microporous, soft structure that makes it an ideal host for a variety of polymer and lipid-based nano-objects as well as metal- and…
53relevance
19
CchemRxiv5 Jan 2026
Beyond Deep Learning Dominance: A Scaffold-Aware Hybrid Framework for Robust Toxicity Prediction in Data-Scarce Regimes
Authors not listed
Computational toxicology plays a pivotal role in modern drug discovery and environmental risk assessment; however, the reliability of predictive models on unseen chemical scaffolds remains a critical bottleneck. Deep learning architectures, despite their prevalence, are susceptible to ’silent failures’—yielding…
53relevance
20
AarXiv5 Jun 2020
Brain-inspired global-local hybrid learning towards human-like intelligence.
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen + 10 more
'Sen Song' 'Lei Deng' 'Guanrui Wang' 'Hao Zheng' 'Jing Pei' 'Youhui Zhang' 'Mingguo Zhao' 'Luping Shi'] 1Center for Brain-Inspired Computing Research (CBICR), Beijing Innovation Center for Future Chip, Optical Memory National Engineering Research Center, Department of Precision Instrument, Tsinghua University, Beijing…
53relevance
21
BbioRxiv7 Sep 2025
Hyperbolic Wavelet Interaction Network (HyWinNet): Multi-Scale Geometric Learning for Interpretable Protein-Protein Interaction Prediction
Qingzhi Yu, Shuai Yan, Wenfeng Dai, Zhengrong Xi + 2 more
Understanding the multi-scale organization of protein-protein interactions (PPIs) is fundamental to deciphering cellular signaling, allosteric regulation, and disease mechanisms, yet existing computational approaches fail to simultaneously resolve atomic-scale binding interfaces and pathway-level coordination. We…
53relevance

Results for hybrid pointer network

Hybrid pointer networks for traveling salesman problems optimization Hybrid pointer networks for traveling salesman problems optimization

Hybrid pointer networks for traveling salesman problems optimization

Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning

Recurrent predictive coding models for associative memory employing covariance learning

Cost-effective handoff scheme based on mobility-aware dual pointer forwarding in proxy mobile IPv6 networks

Efficient Hybrid Network: Inducting Scattering Features

Extracting diamonds: Identifiability of 4-node cycles in level-1 phylogenetic networks under a pseudolikelihood coalescent model

Network Topology Metrics Explaining Enrichment of Hybrid Epithelial Mesenchymal Phenotypes in Metastasis

A framework for the general design and computation of hybrid neural networks

Automatic adaptation of model neurons and connections to build hybrid circuits with living networks

Advancing brain-inspired computing with hybrid neural networks

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA

End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip

Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network

SynCat: A light weight graph neural network model to classify chemical reactions

Water as a modifier in a hybrid coordination network glass

Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network

Unlocking the potential of hybrid nanocomposite hydrogels: design, mechanical properties and biomedical performances

Beyond Deep Learning Dominance: A Scaffold-Aware Hybrid Framework for Robust Toxicity Prediction in Data-Scarce Regimes

Brain-inspired global-local hybrid learning towards human-like intelligence.

Hyperbolic Wavelet Interaction Network (HyWinNet): Multi-Scale Geometric Learning for Interpretable Protein-Protein Interaction Prediction

Hybrid pointer networks for traveling salesman problems optimization Hybrid pointer networks for traveling salesman problems optimization

Hybrid pointer networks for traveling salesman problems optimization

Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning

Recurrent predictive coding models for associative memory employing covariance learning

Cost-effective handoff scheme based on mobility-aware dual pointer forwarding in proxy mobile IPv6 networks

Efficient Hybrid Network: Inducting Scattering Features

Extracting diamonds: Identifiability of 4-node cycles in level-1 phylogenetic networks under a pseudolikelihood coalescent model

Network Topology Metrics Explaining Enrichment of Hybrid Epithelial Mesenchymal Phenotypes in Metastasis

A framework for the general design and computation of hybrid neural networks

Automatic adaptation of model neurons and connections to build hybrid circuits with living networks

Advancing brain-inspired computing with hybrid neural networks

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA

End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip

Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network

SynCat: A light weight graph neural network model to classify chemical reactions

Water as a modifier in a hybrid coordination network glass

Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network

Unlocking the potential of hybrid nanocomposite hydrogels: design, mechanical properties and biomedical performances

Beyond Deep Learning Dominance: A Scaffold-Aware Hybrid Framework for Robust Toxicity Prediction in Data-Scarce Regimes

Brain-inspired global-local hybrid learning towards human-like intelligence.

Hyperbolic Wavelet Interaction Network (HyWinNet): Multi-Scale Geometric Learning for Interpretable Protein-Protein Interaction Prediction