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Sample Complexity of Probability Divergences under Group Symmetry
The dataset used in this paper is the LYSTO dataset, which contains whole-slide prostate cancer images. -
Air Pollution Assessment using Remote Sensing and Machine Learning
Air pollution dataset using remote sensing and machine learning to predict pollutant concentrations in the Iberian Peninsula -
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Pre...
A dataset of synthetic dynamical systems, including the Lorenz system and a generalized cartpole problem, used to evaluate the performance of the Neural Dynamical Systems (NDS)... -
Toward an Architecture for Never-ending Language Learning
Toward an Architecture for Never-ending Language Learning. -
Deep Learning in Optical Metrology
Deep learning in optical metrology -
Optimization of 1D Diffraction Grating
Optimization of 1D diffraction grating -
Meent: Electromagnetic Simulator for Machine Learning
Electromagnetic simulation framework for machine learning -
Model-agnostic machine learning of conservation laws from data
The dataset used in this paper for learning conservation laws from data. -
Stochastic Multi-level Composition Optimization Problem
The dataset used in this paper is a stochastic multi-level composition optimization problem. -
Picking task dataset
The dataset used in the paper is a collection of sequences of motor actions used to train a deep visuomotor policy. -
TRN System Dataset
The dataset used for the experiments in this paper, which includes terrain relative navigation (TRN) system data. -
GNC Algorithm Dataset
The dataset used for the experiments in this paper, which includes guidance, navigation, and control (GNC) algorithm data. -
Quantum Neural Network
The dataset used in this paper is not explicitly described, but it is mentioned that the authors used a dataset for regression/classification problems in the quantum setting. -
Deep Learning Super-Diffusion in Multiplex Networks
The dataset used in this paper is a collection of 75,000 random graph instances for the training set and 200,000 instances for the test set, where each graph is a 2-layer... -
Waymo Open Motion Dataset (WOMD)
The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the... -
Predicting Long-term Renal Impairment in Post-COVID-19 Patients
A dataset of 821 post-COVID-19 patients from diverse regions of Iraq, encompassing clinical data, laboratory parameters, and demographic information. -
Smart Containers With Bidding Capacity: A Policy Gradient Algorithm for Semi-...
The dataset used in this paper is a set of instances with attributes such as time till due date, job transport distance, job volume, holding cost, penalty failed job, and... -
Predicted perovskites dataset
A dataset of 10,790 predicted perovskites, along with their 5 most similar experimental materials, used to test the effectiveness of the VAE model.
