Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

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Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

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

Generalization of Noisy SGD in Unbounded Non-convex Settings

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

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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

Network time series forecasting in photovoltaics power production

A Deep Learning Model for Chemical Shieldings in Molecular Organic Solids Including Anisotropy

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

Plasma state monitoring and disruption characterization using multimodal VAEs

Towards Trustworthy Deep Learning for Image Reconstruction

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

A learning-based approach to stochastic optimal control under reach-avoid constraint

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Optimizing Dynamic Aperture Studies with Active Learning