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

Robust GNSS Processing With Factor Graphs

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

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

Implementation of Robust Imitation Learning against Variations in Environment Dynamics

Modeling robust optimization problems in Pyomo

Code to train RL agents along with Adversarial distrubance agents

Software Release for "Incremental Covariance Estimation for Robust Localization"

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Robust optimization for power markets

Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models". This work adversarially unlearns the text encoder to enhance the robustness of unlearned DMs against adversarial prompt attacks and achieves a better balance between unlearning performance and image generation

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