Ulrike von Luxburg
- A tutorial on spectral clustering
2007/08/21 by Ulrike von Luxburg · 383 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Graph theory and applications
- Graph Laplacians and their convergence on random neighborhood graphs
2006/08/21 by Matthias Hein, Hein, Matthias, Jean-Yves Audibert +3 · 13 citations
Computer Science · Mathematics · Physics and Astronomy · #Topological and Geometric Data Analysis #Graph theory and applications #Complex Network Analysis Techniques
- From Shapley Values to Generalized Additive Models and back
2022/09/08 by Sebastian Bordt, Bordt, Sebastian, Ulrike von Luxburg +1 · 16 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Explaining the Explainer: A First Theoretical Analysis of LIME
2020/01/10 by Damien Garreau, Ulrike von Luxburg, Garreau, Damien +1 · 9 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
2019/12/03 by Leena Chennuru Vankadara, Vankadara, Leena Chennuru, Siavash Haghiri +7 · 5 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
2023/05/23 by Moritz Haas, David Holzmüller, Haas, Moritz +5 · 6 citations
Computer Science · Materials Science · Physics and Astronomy · #Neural Networks and Applications #Machine Learning in Materials Science #Model Reduction and Neural Networks
- Design and Analysis of the NIPS 2016 Review Process
2017/08/31 by Nihar B. Shah, Shah, Nihar B., Behzad Tabibian +7 · 3 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Digital Libraries (cs.DL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Social and Information Networks (cs.SI)
- Comparison Based Nearest Neighbor Search
2017/04/05 by Siavash Haghiri, Haghiri, Siavash, Debarghya Ghoshdastidar +3 · 3 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Automated Road and Building Extraction #Data Management and Algorithms #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- How Much Can We Forget about Data Contamination?
2024/10/04 by Sebastian Bordt, Bordt, Sebastian, Suraj Srinivas +5 · 2 voices · 6 citations
Computer Science · #Privacy-Preserving Technologies in Data #cs.AI #cs.CL #cs.LG
- Pruning nearest neighbor cluster trees
2011/05/03 by Samory Kpotufe, Kpotufe, Samory, Ulrike von Luxburg +1 · 2 citations
Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Rethinking Explainable Machine Learning as Applied Statistics
2024/02/05 by Sebastian Bordt, Bordt, Sebastian, Eric Raidl +3 · 2 voices · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI)
- Advancing Research on Unconscious Priming: When can Scientists Claim an\n Indirect Task Advantage?
2020/04/30 by Sascha Meyen, Meyen, Sascha, Iris A. Zerweck +7 · 2 citations
Neuroscience · #Neural and Behavioral Psychology Studies #EEG and Brain-Computer Interfaces #Neural dynamics and brain function
- Looking Deeper into Tabular LIME
2020/08/25 by Damien Garreau, Garreau, Damien, Ulrike von Luxburg +1 · 2 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistical Methods and Inference
- How the initialization affects the stability of the k-means algorithm
2009/07/31 by Sébastien Bubeck, Bubeck, Sebastien, Marina Meilă +3 · 1 citation
Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (stat.ML)
- Disentangling Interactions and Dependencies in Feature Attribution
2024/10/31 by Gunnar König, Eric Günther, König, Gunnar +3 · 2 voices · 3 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #cs.LG #stat.ML
- Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines
2015/06/02 by Mehdi S. M. Sajjadi, Sajjadi, Mehdi S. M., Morteza Alamgir +3 · 1 citation
Computer Science · Social Sciences · #Educational Technology and Assessment #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Online Learning and Analytics #Student Assessment and Feedback
- Practical methods for graph two-sample testing
2018/11/30 by Debarghya Ghoshdastidar, Ghoshdastidar, Debarghya, Ulrike von Luxburg +1 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods in Clinical Trials
- Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees
2020/06/25 by Solveig Klepper, Klepper, Solveig, Christian Elbracht +11 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- Interpolation and Regularization for Causal Learning
2022/02/18 by Leena Chennuru Vankadara, Luca Rendsburg, Vankadara, Leena Chennuru +5 · 1 citation
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- Performative Validity of Recourse Explanations
2025/06/18 by Gunnar König, Hidde Fokkema, König, Gunnar +7 · 3 citations
Computer Science · Social Sciences · #Bayesian Modeling and Causal Inference #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- AI for Science: An Emerging Agenda
2023/03/07 by Philipp Berens, K. Cranmer, Berens, Philipp +7 · 1 citation
Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computers and Society (cs.CY) #FOS: Computer and information sciences
- Auditing Local Explanations is Hard
2024/07/18 by Robi Bhattacharjee, Ulrike von Luxburg, Bhattacharjee, Robi +1 · 2 citations
Social Sciences · #Data Analysis and Archiving #FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling
2025/05/28 by Moritz Haas, Sebastian Bordt, Haas, Moritz +5 · 1 voice · 2 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG #stat.ML
- Two-Sample Tests for Large Random Graphs Using Network Statistics
2017/05/17 by Debarghya Ghoshdastidar, Ghoshdastidar, Debarghya, Maurilio Gutzeit +5 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph theory and applications #Machine Learning (stat.ML) #Methodology (stat.ME)
- Informative Post-Hoc Explanations Only Exist for Simple Functions
2025/08/15 by Eric Günther, Balázs Szabados, Günther, Eric +7 · 1 voice · 1 citation
#cs.LG #cs.AI