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

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

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

Robust optimization for power markets

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

End-to-end distributionally robust optimization

This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"

Python Library for Robustness Monitoring and Adversarial Debugging of NLP models

One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)

[NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

robust optimization

Оптимизация долгосрочного портфеля акций