Dr. Anders K***

Continual and Lifelong Machine Learning Self-Supervised Learning from Unlabeled Video Time-Series Forecasting with Attention Networks Adversarial Robustness and Model Verification Neural Architecture Search and Edge Quantization Quantum Machine Learning Algorithms Graph Neural Networks for Relational Reasoning Neuromorphic Computing and Event-Based Vision Symbolic AI and Neuro-Symbolic Integration Federated Learning and Differential Privacy Human-in-the-Loop Machine Learning Systems High-Performance GPU Distributed Model Training Deep Generative Models for Molecular Drug Design Concurrency Bugs and Race Condition Detection Formal Program Verification and Model Checking Open-Source Ecosystem Dependency Analysis