This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
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Updated
Jul 14, 2021 - Python
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
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
Modeling robust optimization problems in Pyomo
Code to train RL agents along with Adversarial distrubance agents
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Robust optimization for power markets
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
Experiments with distributionally robust optimization (DRO) for deep neural networks
This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"
End-to-end distributionally robust optimization
Оптимизация долгосрочного портфеля акций
robust optimization
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
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
Simple, yet effective, data-driven algorithm for optimization under parametric uncertainty
Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"
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