Topologically Better Delineation of Curvilinear Structures

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We present a finite elements-neural network approach for the numerical approximation of parametric partial differential equations. The algorithm generates training data from finite element simulations, and uses a data -driven (supervised) feedforward neura ...

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The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

Topologically Better Delineation of Curvilinear Structures

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Overcoming Distribution Shifts and Imbalance Challenges in Representation Learning for Deep Regression Models

Incorporating Projective Geometry into Deep Learning

SaliencyMix plus : Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation

Robust machine learning for neuroscientific inference

Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation

Machine Learning for Modeling Stock Returns

Aggregating Spatial and Photometric Context for Photometric Stereo

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising

Scalable Multi-agent Reinforcement Learning for Residential Load Scheduling Under Data Governance

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

LIONHEART: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles

Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback

Optimizing Dynamic Aperture Studies with Active Learning

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs