yusuke1997/dblp-id-title huggingface dataset:
Impulsive exponential synchronization of randomly coupled neural networks with Markovian jumping and mixed model-dependent time delays
Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning
Exploring new possibilities for case-based explanation of artificial neural network ensembles
Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI
A semantic enhancement-based multimodal network model for extracting information from evidence lists
A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO
U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision
Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning
Short-term cognitive networks, flexible reasoning and nonsynaptic learning
On the approximation of bi-Lipschitz maps by invertible neural networks
Multi-site stimulation of subthalamic nucleus diminishes thalamocortical relay errors in a biophysical network model
Comparison of recent methods for inference of variable influence in neural networks
Self-organizing neural projections
General stochastic separation theorems with optimal bounds
K-Anonymity inspired adversarial attack and multiple one-class classification defense
Reaction times in visual search can be explained by a simple model of neural synchronization
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning
A delay-robust method for enhanced real-time reinforcement learning
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation
Implementation of front-end processor neural networks
Synchronization criteria for inertial memristor-based neural networks with linear coupling
On the Brain-State-in-a-Convex-Domain Neural Models
Capacity of associative memory using a nonmonotonic neuron model
FE reduced-order model-informed neural operator for structural dynamic response prediction
Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
RGDAN: A random graph diffusion attention network for traffic prediction
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations
Self-organization property of Kohonen's map with general type of stimuli distribution
Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals
Exact ART: A Complete Implementation of an ART Network
LCMF-Net: A lightweight collaborative multimodal fusion network for brain tumor segmentation
Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios
One-shot Federated Learning without server-side training
Deep causal learning for pancreatic cancer segmentation in CT sequences
Neural Network Smoothing in Correlated Time Series Context
Stability analysis of delayed cellular neural networks
Learning dual-margin model for visual tracking
Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays
Neural dynamics of psychotherapy: what modeling might tell us about us
Learning using privileged information: SV M+ and weighted SVM
Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties
Consciousness CLEARS the mind
Pseudo-outer product based fuzzy neural network fingerprint verification system
S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context
Development of compositional and contextual communicable congruence in robots by using dynamic neural network models
Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency
A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training
Distributed-force-feedback-based reflex with online learning for adaptive quadruped motor control
Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties
A biologically based model of functional properties of the hippocampus
A connectionist system for learning and recognition of structures: Application to handwritten characters
Effective Backpropagation Training with Variable Stepsize
A review on neural network models of schizophrenia and autism spectrum disorder
Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning
Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays
Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays
The complexity of learning in PLN networks
The recalling process dynamics of associative memory neural networks in macrodynamical approach
HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems
Gradient-based training and pruning of radial basis function networks with an application in materials physics
TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning
A general approach to multistability analysis for fuzzy multidimensional-valued NNs with memristor
Adaptive self-supervised learning for sequential recommendation
BAGAIL: Multi-modal imitation learning from imbalanced demonstrations
Contrastive self-representation learning for data clustering
Logarithmic learning for generalized classifier neural network
Broad-UNet: Multi-scale feature learning for nowcasting tasks
Neuromimetic metaplasticity for adaptive continual learning without catastrophic forgetting
On the equivalence of Hopfield networks and Boltzmann Machines
Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation
Evaluating the Vapnik-Chervonenkis dimension of artificial neural networks using the Poincaré polynomial
A novel sequential structure for lightweight multi-scale feature learning under limited available images
Improving recall in associative memories by dynamic threshold
Regarding the temporal requirements of a hierarchical Willshaw network
Modeling the precedence effect for speech using the gamma filter
Neural independent component analysis by "maximum-mismatch" learning principle
A neural network controller for hydronic heating systems of solar buildings
FxTS-Net: Fixed-time stable learning framework for Neural ODEs
Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments
The role of chaotic resonance in cerebellar learning
Mirror neurons and imitation: A computationally guided review
Learning spatio-temporal representation for cooperative 3D object detection and tracking
Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets
Relation-Guided Representation Learning
Fractional Fourier transform pre-processing for neural networks and its application to object recognition
A survey on modern trainable activation functions
Multi-label zero-shot human action recognition via joint latent ranking embedding
Physics-guided neural network for predicting asphalt mixture rutting with balanced accuracy, stability and rationality
Fractional-order gradient descent learning of BP neural networks with Caputo derivative
Constraints on Hebbian and STDP learned weights of a spiking neuron
Deep Convolutional Neural Networks for Large-scale Speech Tasks
Distorted image classification using neural activation pattern matching loss
How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction
Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities
On the boundary conditions of avoidance memory reconsolidation: An attractor network perspective
Equilibria of the brain-state-in-a-box (BSB) neural model
Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization
The GH-EXIN neural network for hierarchical clustering
Weight quantization in Boltzmann machines
Node perturbation learning without noiseless baseline
Robustifying models against adversarial attacks by Langevin dynamics
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Learning global-view correlation for salient object detection in 3D point clouds
A comparative analysis of multi-biometrics performance in human and action recognition using silhouette thermal-face and skeletal data
LD-CSNet: A latent diffusion-based architecture for perceptual Compressed Sensing
State bounding for fuzzy memristive neural networks with bounded input disturbances
Moment stability of McKean-Vlasov stochastic recurrent neural networks with mixed delays
Stability constraints for the distributed control of motor behavior
Improving domain generalization by hybrid domain attention and localized maximum sensitivity
The emergence of a concept in shallow neural networks
Reconstructing controllable faces from brain activity with hierarchical multiview representations
Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions
Adaptive natural gradient learning algorithms for various stochastic models
Neural architecture design based on extreme learning machine
Similarity-based prototype reconstruction and feature reorganization for non-exemplar class incremental learning
An adaptive deep Q-learning strategy for handwritten digit recognition
Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal
Explanatory subgraph attacks against Graph Neural Networks
COM: Contrastive Masked-attention model for incomplete multimodal learning
Central pattern generators for locomotion control in animals and robots: A review
High speed human action recognition using a photonic reservoir computer
Tempered fractional gradient descent: Theory, algorithms, and robust learning applications
Rethinking deep clustering paradigms: Self-supervision is all you need
Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization
Sonar recognition of targets embedded in sediment
A weighted information criterion for multiple minor components and its adaptive extraction algorithms
The Neural Network Approach To A Parallel Decentralized Network Routing
Adversarial style discrepancy minimization for unsupervised domain adaptation
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication
A neural model of visual figure-ground segregation from kinetic occlusion
Stereo algorithm that extracts a depth cue from interocularly unpaired points
About the Kohonen Algorithm: Strong or Weak Self-organization?
A general framework for robust stability analysis of neural networks with discrete time delays
Contrastive Hebbian learning with random feedback weights
Wavelet transforms and neural networks for compression and recognition
Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry
Scalable mobile swarm network for reservoir computing using gaussian kernel density estimation
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
The organization of curve detection: Coarse tangent fields and fine spline coverings
Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution
Training neural networks to be insensitive to weight random variations
Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy
Dual-driven optimization of collaborative multi-agent via case learning and curiosity
Segmenting medical images with limited data
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation
Training nets of stochastic units using system identification
Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Reinforcement learning of motor skills with policy gradients
Reframing control methods for parameters optimization in adversarial image generation
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples
Visual tracking with unified relation modeling and masked appearance learning
Balanced echo state networks
Privacy preserving Generative Adversarial Networks to model Electronic Health Records
Object recognition by artificial cortical maps
Stable invariant models via Koopman spectra
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search
Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems
Re-visiting the echo state property
Self-Taught convolutional neural networks for short text clustering
Multiclass heterogeneous domain adaptation via bidirectional ECOC projection
Feature Correlation-Steered Capsule Network for object detection
Distributed static linear Gaussian models using consensus
Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays
Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world
A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems
Decomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs
Robustness analysis of uncertain dynamical neural networks with multiple time delays
Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion
WideTopo: Improving foresight neural network pruning through training dynamics preservation and wide topologies exploration
Simulation and implementation considerations with classification networks
Multi-agent Continuous Control with Generative Flow Networks
Redundant feature pruning for accelerated inference in deep neural networks
Bifurcations in a fractional-order neural network with multiple leakage delays
Why grid cells function as a metric for space
The Gabor function extracts the maximum information from input local signals
Large-margin Softmax loss using synthetic virtual class
Rethinking cell-based neural architecture search: A theoretical perspective
Recovering low-rank and sparse matrix based on the truncated nuclear norm
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing
Compression of Deep Neural Networks based on quantized tensor decomposition to implement on reconfigurable hardware platforms
Consciousness in Neural Networks?
Acetylcholine in cortical inference
Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks
The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network
Deep semi-supervised learning via dynamic anchor graph embedding in latent space
Smaller nets may perform better: special transfer functions
Exponential synchronization of stochastic delayed memristive neural networks via a novel hybrid control
Adaptive tracking synchronization for coupled reaction-diffusion neural networks with parameter mismatches
A new robust model of one-class classification by interval-valued training data using the triangular kernel
Chaotic pattern transitions in pulse neural networks
Capsule networks with non-iterative cluster routing
Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation
EPC-DARTS: Efficient partial channel connection for differentiable architecture search
UniSKGRep: A unified representation learning framework of social network and knowledge graph
Data visualisation and manifold mapping using the ViSOM
Learning joint space-time-frequency features for EEG decoding on small labeled data
Synchronization of hybrid switching diffusions delayed networks via stochastic event-triggered control
The superior colliculus and spatiotemporal translation in the saccadic system
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks
Bio-inspired deep neural local acuity and focus learning for visual image recognition
Incremental transfer learning based on temporal-frequency convolution interaction for multi-task prediction of wind speed and wind power
Discriminative multi-source adaptation multi-feature co-regression for visual classification
Tropical support vector machines: Evaluations and extension to function spaces
Compressing neural networks via formal methods
Mean-field neural networks: Learning mappings on Wasserstein space
Conceptual change and preschoolers' theory of mind: Evidence from load-force adaptation
Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation
Online ensemble model compression for nonstationary data stream learning
Convergence analysis of sliding mode trajectories in multi-objective neural networks learning
An extended echo state network using Volterra filtering and principal component analysis
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception
IoUformer: Pseudo-IoU prediction with transformer for visual tracking
Bidirectional consistency with temporal-aware for semi-supervised time series classification
Connectionist generalization for production: An example from GridFont
Implications of physical symmetries in adaptive image classifiers
Information theoretic perspective on sample complexity
PLATO: Data-oriented approach to collaborative large-scale brain system modeling
Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization
Topology representing networks
Global μ-synchronization of impulsive pantograph neural networks
A hyper-heuristic enhanced neuro-evolutionary algorithm with self-adaptive operators and various activation functions for classification problems
Rules for the cortical map of ocular dominance and orientation columns
Synchronized bifurcation and stability in a ring of diffusively coupled neurons with time delay
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG
Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games
A tight upper bound on the generalization error of feedforward neural networks
An associative memory including time-variant self-feedback
Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state
Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays
Anxiety-like behavior in rats: a computational model
Morphological bidirectional associative memories
Streaming cascade-based speech translation leveraged by a direct segmentation model
Application of hierarchical networks in analog pattern categorization
CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation
A new algorithm to design compact two-hidden-layer artificial neural networks
Approximating the stability region of a neural network with a general distribution of delays
On the application of neural networks for structured domains to fMRI data
A new environment for interactive neural network experiments
Contrastive independent subspace analysis network for multi-view spatial information extraction
Learning dynamical systems by recurrent neural networks from orbits
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation
Structural plasticity on an accelerated analog neuromorphic hardware system
A fast nearest neighbor classifier based on self-organizing incremental neural network
Deep one-class probability learning for end-to-end image classification
Decomposition approach to the stability of recurrent neural networks with asynchronous time delays in quaternion field
Reflectance estimation in the presence of sharp shadows or transparency
Distinct role of flexible and stable encodings in sequential working memory
An online incremental learning pattern-based reasoning system
A Decomposition Principle for Complexity Reduction of Artificial Neural Networks
Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter
Pattern recognition by labeled graph matching
Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments
Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation
Evolving neural fields for problems with large input and output spaces
Attention Inspired Network: Steep learning curve in an invariant pattern recognition model
H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol
Nonlinear approximation via compositions
Learning transform invariant object recognition in the visual system with multiple stimuli present during training
CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds
Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables
An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces
A neural network architecture for figure-ground separation of connected scenic figures
Boosting cross-modal retrieval in remote sensing via a novel unified attention network
Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
EEG Emotion Copilot: Optimizing lightweight LLMs for emotional EEG interpretation with assisted medical record generation
High-dimensional classification problems with Barron regular boundaries under margin conditions
Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays
A bag-of-paths framework for network data analysis
Is mutual information adequate for feature selection in regression?
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance
CausalCOMRL: Context-based offline meta-reinforcement learning with causal representation
Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure
Learning long-term motor timing/patterns on an orthogonal basis in random neural networks
Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning