Liebig, Thomas
- Evaluating Machine Unlearning via Epistemic Uncertainty
2022/08/23 by Alexander Becker, Becker, Alexander, Thomas Liebig +1 · 9 citations
Computer Science · #Adversarial Robustness in Machine Learning #Distributed Sensor Networks and Detection Algorithms #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
- Conditional Sum-Product Networks: Imposing Structure on Deep\n Probabilistic Architectures
2019/05/21 by Xiaoting Shao, Alejandro Molina, Shao, Xiaoting +11 · 5 citations
Business, Management and Accounting · Computer Science · #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Product Development and Customization
- Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
2023/08/31 by Andreas Roth, Thomas Liebig, Roth, Andreas +1 · 4 citations
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Stochastic Gradient Optimization Techniques #Functional Brain Connectivity Studies
- Certified Data Removal in Sum-Product Networks
2022/10/04 by Becker, Alexander, Liebig, Thomas · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Curvature-based Pooling within Graph Neural Networks
2023/08/31 by Cedric G. Sanders, Sanders, Cedric, Andreas Roth +3 · 1 citation
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques