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.

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.

Оптимизация долгосрочного портфеля акций

A development environment for robust and global optimization

Robust GNSS Processing With Factor Graphs

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Blades: A simulator and benchmark for Byzantine-robust federated Learning with Attacks and Defenses Experimental Simulation

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.

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

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

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

Data-Driven Decision Making under Uncertainty in Matrix

Experiments with distributionally robust optimization (DRO) for deep neural networks