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Background Briefing: Machine Unlearning
This background briefing note provides an overview of machine unlearning research and its relevance to public policy. It outlines the two main branches of 'exact unlearning' and... -
RadarML Dataset
This is the "RadarML" dataset a publicly available dataset of experimentally captured modulated radar pulses recorded over-the-air across multiple independent receive channels.... -
SAR-RARP50 test set
Test dataset released as a part of the EndoVis 2022 SAR-RARP50 challengeDetails on the dataset format are included in the provided README fileTo learn more about the dataset... -
SAR-RARP50 train set
Training dataset released as a part of the EndoVis 2022 SAR-RARP50 challengeDetails on the dataset format are included in the provided README fileTo learn more about the dataset... -
Example (synthetic) images
Model A Hugging Face Unconditional image generation Diffusion Model was used for training. [1] Unconditional image generation models are not conditioned on text or images during... -
Endoscopic Pituitary Surgery on a High-fidelity Bench-top Phantom
The first public dataset containing both instrument and surgical skill assessment annotations in a high-fidelity bench-top phantom (www.store.upsurgeon.com/products/tnsbox/) of... -
Longitudinal ALS EEG Dataset for Motor Imagery Studies
This dataset comprises EEG recordings from eight ALS patients aged between 45.5 and 74 years. Patients exhibited revised ALS Functional Rating Scale (ALSFRS-R) scores ranging... -
Benchmark dataset Turbulent Channel Flow for Chaos Meets Attention: Transform...
This dataset serves as a benchmark for 3D turbulent channel flows, based on simulations performed using a high-fidelity lattice Boltzmann method (LBM) solver, as described in... -
Research data for "Learning Radical Excited States from Sparse Data"
In this study we have demonstrated a computational model for the simulation of excited electronic states of radicals whose parameters are learned from experimental excited-state...
