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

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Robust GNSS Processing With Factor Graphs

A development environment for robust and global optimization

Code to train RL agents along with Adversarial distrubance agents

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

Оптимизация долгосрочного портфеля акций

Software Release for "Incremental Covariance Estimation for Robust Localization"

Understanding and Improving Fast Adversarial Training [Jul 2020]

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

Robust optimization for power markets

Python Library for Robustness Monitoring and Adversarial Debugging of NLP models

Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"

Robust optimization module

OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supported by an extensive documentation and tutorials.

Crosswords puzzle generator and publisher using Constraints Satisfaction Problem (CSP) technique. With minimal backtracks.

Data-Driven Decision Making under Uncertainty in Matrix

Оптимизация долгосрочного портфеля акций

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

PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".

Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.

Distributionally Robust Graphical Models

Robust Simulation Optimization Kriging

A new version code for the porject "RobustFlightsOld" to make it more readable and high productivity.Then add a new efficace method to trace the data uncertainty

Data Driven robust optimization

Hyperparameter tuning using a robust simulation optimization framework