Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

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Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

Chattez avec Graph Search

High-dimensional learning of narrow neural networks

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Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI

Gradient Approximation of Approximate Multipliers for High-Accuracy Deep Neural Network Retraining

Predicting electronic screening for fast Koopmans spectral functional calculations

Understanding generalization and robustness in modern deep learning

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Wigner kernels: Body-ordered equivariant machine learning without a basis

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Incorporating Projective Geometry into Deep Learning

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Robust machine learning for neuroscientific inference

Aggregating Spatial and Photometric Context for Photometric Stereo

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

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

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