OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

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OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

Chat with Graph Search

Sequential Reasoning with Socially Caused Beliefs

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

Robust NAS under adversarial training: benchmark, theory, and beyond

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

GELEX: Generative AI-Hybrid System for Example-Based Learning

Bulk measurement of membrane permeability for random cyclic peptides in living cells to guide drug development

Social Opinion Formation and Decision Making Under Communication Trends

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

Partial discharge localization in power transformer tanks using machine learning methods

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

Predicting the long-term collective behaviour of fish pairs with deep learning

Network time series forecasting in photovoltaics power production

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

Graph generative deep learning models with an application to circuit topologies

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Incorporating Projective Geometry into Deep Learning

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Robust machine learning for neuroscientific inference

Aggregating Spatial and Photometric Context for Photometric Stereo

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