:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Chen, Abel C. H.
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics Information Theory Machine Learning Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2411.17726
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Discretized Neural Networks under Ricci Flow
by: Chen, Jun, et al.
Published: (2023)

A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
by: Makkeh, Abdullah, et al.
Published: (2023)

Redundancy Maximization as a Principle of Associative Memory Learning
by: Blümel, Mark, et al.
Published: (2025)

Zero-shot Quantum Neural Architecture Search
by: Dao, Tung, et al.
Published: (2026)

The Effect of Label Noise on the Information Content of Neural Representations
by: Umar, Ali Hussaini, et al.
Published: (2025)

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
by: Huang, Ann, et al.
Published: (2024)

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

Neuromorphic Wireless Split Computing with Multi-Level Spikes
by: Wu, Dengyu, et al.
Published: (2024)

Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
by: Wu, Dengyu, et al.
Published: (2025)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
by: Zada, Moustafa
Published: (2025)

HQSI: Hybrid Quantum Swarm Intelligence -- A Case Study of Online Certificate Status Protocol Request Flow Prediction
by: Chen, Abel C. H.
Published: (2025)

Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
by: Gharatappeh, Soheil, et al.
Published: (2025)

CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks
by: Mayorga, Alejandro Antonio, et al.
Published: (2024)

Neural Architecture Search for Quantum Autoencoders
by: Agha, Hibah, et al.
Published: (2025)

What should a neuron aim for? Designing local objective functions based on information theory
by: Schneider, Andreas C., et al.
Published: (2024)

Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
by: Bozkurt, Bariscan, et al.
Published: (2023)

Learning to Measure Quantum Neural Networks
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)

Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
by: Simeone, Osvaldo
Published: (2026)

Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
by: Li, Jianfei, et al.
Published: (2024)

Quantum Dynamics with Time-Dependent Neural Quantum States
by: Romero-Ros, Alejandro, et al.
Published: (2025)

PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
by: Shin, Yong-Min, et al.
Published: (2022)

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
by: Spieler, Aaron, et al.
Published: (2026)

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
by: Shin, Yong-Min, et al.
Published: (2024)

A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
by: Gili, Kaitlin, et al.
Published: (2023)

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks
by: Goldfeder, Judah, et al.
Published: (2024)

LASER: Linear Compression in Wireless Distributed Optimization
by: Makkuva, Ashok Vardhan, et al.
Published: (2023)

Method for noise-induced regularization in quantum neural networks
by: Kuzmin, Viacheslav, et al.
Published: (2024)

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver
by: Jones, Benjamin D. M., et al.
Published: (2024)

Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
by: Bhandari, Shailendra, et al.
Published: (2024)

Experimental verification of the quantum nature of a neural network
by: Patrascu, Andrei T.
Published: (2022)

Representation Theorem for Matrix Product States
by: Guo, Erdong, et al.
Published: (2021)

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
by: Chen, Jiechen, et al.
Published: (2025)

Decomposer Networks: Deep Component Analysis and Synthesis
by: Joneidi, Mohsen
Published: (2025)

Spectral-Stimulus Information for Self-Supervised Stimulus Encoding
by: Deighton, Jared, et al.
Published: (2024)

Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
by: Klein, Samuel, et al.
Published: (2026)

Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy
by: Shin, Hyeju, et al.
Published: (2025)

Exploring Biological Neuronal Correlations with Quantum Generative Models
by: Hernandes, Vinicius, et al.
Published: (2024)

Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions
by: Leblanc, Samuel, et al.
Published: (2024)

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
by: Tran, Cong, et al.
Published: (2021)