NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
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Updated
Feb 24, 2023 - MATLAB
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.
Оптимизация долгосрочного портфеля акций
A development environment for robust and global optimization
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Robust GNSS Processing With Factor Graphs
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
Modeling robust optimization problems in Pyomo
Code to train RL agents along with Adversarial distrubance agents
noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
Software Release for "Incremental Covariance Estimation for Robust Localization"
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
Robust optimization for power markets
Data-driven decision making under uncertainty using matrices
The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016
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