Code used to produce the results for the manuscript "Emergent weight morphologies in deep neural networks".
Also available via: European Organization for Nuclear Research
Deep Neural Networks (DNNs) exhibit acute vulnerabilities to intermediate activation layer perturbations engineered through out-of-distribution (OOD) noise injection and feature-steering gradient updates. Conventional defensive paradigms—such as adversarial retraining or external…
This deposit contains the field data, synthetic training datasets, trained network weights and analysis code supporting the article "Physics-informed neural network inversion of electrical resistivity tomography data: amortized optimization with field validation in the Moroccan M…
Pedireddi Yaswanth Saipavan, Laxmi Math
Brain tumors are among the most life-threatening neurological disorders, and their early, accurate diagnosis through Magnetic Resonance Imaging (MRI) is critical for effective treatment planning. Manual interpretation of MRI scans is time-consuming, subjective, and prone to inter…
Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik
Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…
Shogo Noguchi, Taketo Akama, Tai Nakamura, Shun Minamikawa, Natalia Polouliakh
Source code for the PredANN++ pipeline for EEG-based music identification using acoustic, surprisal, and entropy teacher representations.
Research article: Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks