Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

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Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

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Partial discharge localization in power transformer tanks using machine learning methods

Aggregating Spatial and Photometric Context for Photometric Stereo

Robust machine learning for neuroscientific inference

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Random matrix methods for high-dimensional machine learning models

Spectral Estimators for High-Dimensional Matrix Inference

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

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

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Enabling Uncertainty Estimation in Iterative Neural Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Data for Paper "Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning"

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

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

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

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

Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Digital Twins of Stone Masonry Buildings for Damage Assessment