Von Neumann Networks
Fuente:
arXiv
Saved in:
| Main Author: | Chandra, Shekhar S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
by: Ellethy, Hanem, et al.
Published: (2024)
by: Ellethy, Hanem, et al.
Published: (2024)
Perturbing the Gradient for Alleviating Meta Overfitting
by: Gogoi, Manas, et al.
Published: (2024)
by: Gogoi, Manas, et al.
Published: (2024)
Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach
by: Shill, Ponkoj Chandra
Published: (2026)
by: Shill, Ponkoj Chandra
Published: (2026)
Physics-Guided Abnormal Trajectory Gap Detection
by: Sharma, Arun, et al.
Published: (2024)
by: Sharma, Arun, et al.
Published: (2024)
Towards Physics-informed Diffusion for Anomaly Detection in Trajectories
by: Sharma, Arun, et al.
Published: (2025)
by: Sharma, Arun, et al.
Published: (2025)
Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication
by: Khairnar, Shekhar Madhav, et al.
Published: (2024)
by: Khairnar, Shekhar Madhav, et al.
Published: (2024)
Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings
by: Fertig, Alexander, et al.
Published: (2026)
by: Fertig, Alexander, et al.
Published: (2026)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
by: Hoque, Oishee Bintey, et al.
Published: (2026)
by: Hoque, Oishee Bintey, et al.
Published: (2026)
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
by: Ghosh, Subhankar, et al.
Published: (2024)
by: Ghosh, Subhankar, et al.
Published: (2024)
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
by: Hoque, Oishee Bintey, et al.
Published: (2026)
by: Hoque, Oishee Bintey, et al.
Published: (2026)
IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs
by: Faraz, Ali, et al.
Published: (2025)
by: Faraz, Ali, et al.
Published: (2025)
Winfree Oscillatory Neural Network
by: Dai, Jiawen, et al.
Published: (2026)
by: Dai, Jiawen, et al.
Published: (2026)
Vision Hopfield Memory Networks
by: Wang, Jianfeng, et al.
Published: (2026)
by: Wang, Jianfeng, et al.
Published: (2026)
Hyperbolic Busemann Neural Networks
by: Chen, Ziheng, et al.
Published: (2026)
by: Chen, Ziheng, et al.
Published: (2026)
Explaining Bayesian Neural Networks
by: Bykov, Kirill, et al.
Published: (2021)
by: Bykov, Kirill, et al.
Published: (2021)
Kolmogorov-Arnold Network Autoencoders
by: Moradi, Mohammadamin, et al.
Published: (2024)
by: Moradi, Mohammadamin, et al.
Published: (2024)
Flow Stochastic Segmentation Networks
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
On Diversity in Discriminative Neural Networks
by: Oubaha, Brahim, et al.
Published: (2024)
by: Oubaha, Brahim, et al.
Published: (2024)
Conditional Idempotent Generative Networks
by: Ronchetti, Niccolò
Published: (2024)
by: Ronchetti, Niccolò
Published: (2024)
General Cyclical Training of Neural Networks
by: Smith, Leslie N.
Published: (2022)
by: Smith, Leslie N.
Published: (2022)
IGAN: Inferent and Generative Adversarial Networks
by: Vignaud, Luc
Published: (2021)
by: Vignaud, Luc
Published: (2021)
Text-To-Image with Generative Adversarial Networks
by: Momen-Tayefeh, Mehrshad
Published: (2024)
by: Momen-Tayefeh, Mehrshad
Published: (2024)
RAFNet: Region-Aware Fusion Network for Pansharpening
by: Zhang, Jianing, et al.
Published: (2026)
by: Zhang, Jianing, et al.
Published: (2026)
Deep Networks Always Grok and Here is Why
by: Humayun, Ahmed Imtiaz, et al.
Published: (2024)
by: Humayun, Ahmed Imtiaz, et al.
Published: (2024)
Fast Graph Neural Network for Image Classification
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)
Handloom Design Generation Using Generative Networks
by: Bhattacharjee, Rajat Kanti, et al.
Published: (2025)
by: Bhattacharjee, Rajat Kanti, et al.
Published: (2025)
OMENN: One Matrix to Explain Neural Networks
by: Wróbel, Adam, et al.
Published: (2024)
by: Wróbel, Adam, et al.
Published: (2024)
Neural Redshift: Random Networks are not Random Functions
by: Teney, Damien, et al.
Published: (2024)
by: Teney, Damien, et al.
Published: (2024)
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
by: Lopez, Eleonora, et al.
Published: (2024)
by: Lopez, Eleonora, et al.
Published: (2024)
Probing Equivariance and Symmetry Breaking in Convolutional Networks
by: Vadgama, Sharvaree, et al.
Published: (2025)
by: Vadgama, Sharvaree, et al.
Published: (2025)
Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)
by: Lee, Keonho, et al.
Published: (2025)
Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
by: Kamada, Shin, et al.
Published: (2025)
by: Kamada, Shin, et al.
Published: (2025)
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
by: Yu, Ray Congrui, et al.
Published: (2024)
by: Yu, Ray Congrui, et al.
Published: (2024)
A Simple Baseline for Stable and Plastic Neural Networks
by: Künzel, Étienne, et al.
Published: (2025)
by: Künzel, Étienne, et al.
Published: (2025)
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
by: Xiang, Jinlin, et al.
Published: (2025)
by: Xiang, Jinlin, et al.
Published: (2025)
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
by: Cheon, Minjong
Published: (2024)
by: Cheon, Minjong
Published: (2024)
SINF: Semantic Neural Network Inference with Semantic Subgraphs
by: Sayyed, A. Q. M. Sazzad, et al.
Published: (2023)
by: Sayyed, A. Q. M. Sazzad, et al.
Published: (2023)
Provenance Networks: End-to-End Exemplar-Based Explainability
by: Kayyam, Ali, et al.
Published: (2025)
by: Kayyam, Ali, et al.
Published: (2025)
Six Sigma For Neural Networks: Taguchi-based optimization
by: Kodathala, Sai Varun
Published: (2025)
by: Kodathala, Sai Varun
Published: (2025)
Similar Items
-
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
by: Ellethy, Hanem, et al.
Published: (2024) -
Perturbing the Gradient for Alleviating Meta Overfitting
by: Gogoi, Manas, et al.
Published: (2024) -
Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach
by: Shill, Ponkoj Chandra
Published: (2026) -
Physics-Guided Abnormal Trajectory Gap Detection
by: Sharma, Arun, et al.
Published: (2024) -
Towards Physics-informed Diffusion for Anomaly Detection in Trajectories
by: Sharma, Arun, et al.
Published: (2025)