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

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

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Robust GNSS Processing With Factor Graphs

A development environment for robust and global optimization

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Оптимизация долгосрочного портфеля акций

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

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

Software Release for "Incremental Covariance Estimation for Robust Localization"

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

Data-Driven Decision Making under Uncertainty in Matrix

Robust optimization module

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

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.

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".

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

Оптимизация долгосрочного портфеля акций

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

Code and data for the article "Reliable Frequency Regulation through Vehicle-to-Grid: From EU Legislation to Robust Optimization" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://arxiv.org/pdf/2005.06042.pdf. This project was funded by the Institut VEDECOM.

Distributionally Robust Graphical Models

Robust Simulation Optimization Kriging

Instances and results for two-stage integer robust optimization problems Instances and results for two-stage integer robust optimization problems