FeGAN: Scaling Distributed GANs

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FeGAN: Scaling Distributed GANs

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Self-supervised and few-shot learning for robust bioaerosol monitoring

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Machine-learning-empowered FDTD/FEM simulations for predictive solar energy absorption in plasmonic metamaterial nanocavity arrays

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

On-device diagnostic recommendation with heterogeneous federated BlockNets

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Robust Training and Verification of Deep Neural Networks

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

Impact of Video Processing Operations in Deepfake Detection

Template Inversion Attack Using Synthetic Face Images Against Real Face Recognition Systems

Fast Adversarial Training With Adaptive Step Size

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Machine-learning to analyze human-building interactions: How do people use mobile solar protections?

A multimodal measurement of the impact of deepfakes on the ethical reasoning and affective reactions of students

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Beter Support Ideation Than Text Prompts for Difusion Models

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios