A gentle introduction and tutorial on Deep Generative Models in transportation research

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Measuring animal behaviors is a crucial task in a range of scientific applications. Modern approaches with deep neural networks calls for developing solutions that solve a wide range of vision and language tasks. This ubiquitous need for understanding beha ...

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A gentle introduction and tutorial on Deep Generative Models in transportation research

Chat with Graph Search

Neuroscience-inspired computer vision and language modeling for behavior analysis

Label-Efficient Deep Learning Methods for Event Detection, Object Segmentation and Cell Tracking in Biological Microscopy Images

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling

Data and scripts for the RaFSIP scheme

Toward Reliable Human Pose Forecasting With Uncertainty

Communication-efficient distributed training of machine learning models

Automated segmentation and labeling of subcutaneous mouse implants at 14.1T

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Overflow-free compute memories for edge AI acceleration

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

Essays in Empirical Asset Pricing

Quantum Convolutional Circuits For Earth Observation Image Classification

Accelerating the theoretical study of Li-polysulfide adsorption on single-atom catalysts via machine learning approaches

Probing transfer learning with a model of synthetic correlated datasets

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Defect segmentation for multi-illumination quality control systems

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles