Cover Image

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Aasish Kumar, Pandey, Sanjeeb Prashad, Kunkel, Julian M.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Emerging Technologies
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems
by: Sharma, Aasish Kumar, et al.
Published: (2025)

Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
by: Pelke, Rebecca, et al.
Published: (2025)

Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024)

OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
by: Sunny, Febin, et al.
Published: (2024)

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
by: Gallo, Manuel Le, et al.
Published: (2023)

On Optimizing Hyperparameters for Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)

Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
by: Priyadarsini, Indra, et al.
Published: (2024)

Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
by: Zhang, Youdong, et al.
Published: (2025)

Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
by: Tsormpatzoglou, George, et al.
Published: (2025)

Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks
by: Nagipogu, Rajiv Teja, et al.
Published: (2024)

Device Modeling Bias in ReRAM-based Neural Network Simulations
by: Yousuf, Osama, et al.
Published: (2022)

Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications
by: Sonmez, Ali, et al.
Published: (2025)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
by: Lin, Jiaqi, et al.
Published: (2025)

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
by: Shukla, Pradeep Kumar, et al.
Published: (2025)

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
by: Bührer, Simon, et al.
Published: (2026)

Multi-Objective Neural Architecture Search for In-Memory Computing
by: Amin, Md Hasibul, et al.
Published: (2024)

Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
by: Xu, Tengji, et al.
Published: (2024)

Machine Intelligence on Wireless Edge Networks
by: Vadlamani, Sri Krishna, et al.
Published: (2025)

Exploring Quantum Neural Networks for Demand Forecasting
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)

1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
by: Shao, Yu, et al.
Published: (2024)

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
by: de Queiroz, Mauricio Gomes, et al.
Published: (2024)

Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
by: Ji, Xiaoyang, et al.
Published: (2024)

A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
by: Zhou, Tianxin, et al.
Published: (2024)

Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
by: Deineko, Elija, et al.
Published: (2024)

A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles
by: Wang, Han, et al.
Published: (2026)

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
by: Mordacci, Marco, et al.
Published: (2025)

Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
by: Nagies, Sebastian, et al.
Published: (2025)

Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
by: Tao, Han-Xiao, et al.
Published: (2024)

Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
by: Javaid, Shumaila, et al.
Published: (2024)

QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
by: Parry, Owain, et al.
Published: (2025)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer
by: Zardini, Enrico, et al.
Published: (2024)

An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
by: Sahu, Abhishek, et al.
Published: (2024)

PHANTOM: Physics-Aware Adversarial Attacks against Federated Learning-Coordinated EV Charging Management System
by: Haider, Mohammad Zakaria, et al.
Published: (2025)

Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024)