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Found 9 papers, 3 papers with code
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
Neural network-based variational Monte Carlo (NN-VMC) has emerged as a promising cutting-edge technique of ab initio quantum chemistry.
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
GMSS has the ability to learn more general representations by integrating multiple self-supervised tasks, including spatial and frequency jigsaw puzzle tasks, and contrastive learning tasks.
Decipher soil organic carbon dynamics and driving forces across China using machine learning
Additionally, the national cropland topsoil organic carbon increased with a rate of 23. 6 ± 7. 6 g C m−2 yr−1since the 1980s, and the widely applied nitrogenous fertilizer was a key stimulus.
TorchAudio: Building Blocks for Audio and Speech Processing
This document describes version 0. 10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain.
Learning Vision-based Reactive Policies for Obstacle Avoidance
In this paper, we address the problem of vision-based obstacle avoidance for robotic manipulators.
Nonconvex Matrix Completion with Linearly Parameterized Factors
Techniques of matrix completion aim to impute a large portion of missing entries in a data matrix through a small portion of observed ones.
Nonconvex Rectangular Matrix Completion via Gradient Descent without $\ell_{2,\infty}$ Regularization
The analysis of nonconvex matrix completion has recently attracted much attention in the community of machine learning thanks to its computational convenience.
Leveraging Elastic Demand for Forecasting
Demand variance can result in a mismatch between planned supply and actual demand.
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
This work studies low-rank approximation of a positive semidefinite matrix from partial entries via nonconvex optimization.
