Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

August 29, 2023

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis
Rafic Nader, Romain Bourcier, Florent Autrusseau
Deep Learning Automatic Detection Bifurcation Diagram Green CIRCLe Intracranial Aneurysm

August 28, 2023

August 25, 2023

August 24, 2023

Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries
Zhiwei Fang, Sifan Wang, Paris Perdikaris
Deep Learning LeArning Abstract Physic Informed Neural Network Neural Operator Document Boundary Complex Geometry Physic Informed Neural Operator

August 23, 2023

Deep Learning

Papers

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis

Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios

VesselShot: Few-shot learning for cerebral blood vessel segmentation

Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy

End-to-end Autonomous Driving using Deep Learning: A Systematic Review

A comprehensive review on Plant Leaf Disease detection using Deep learning

Practical Edge Detection via Robust Collaborative Learning

Deep Learning for Visual Localization and Mapping: A Survey

Vision-Based Human Pose Estimation via Deep Learning: A Survey

Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics

Homological Convolutional Neural Networks

Is Deep Learning Network Necessary for Image Generation?

Open Gaze: Open Source eye tracker for smartphone devices using Deep Learning

Mesh-Wise Prediction of Demographic Composition from Satellite Images Using Multi-Head Convolutional Neural Network

An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation

A topological model for partial equivariance in deep learning and data analysis

Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion