Stephan Günnemann
Orcid: 0000-0001-7772-5059Affiliations:
- Technical University of Munich, Germany
- Carnegie Mellon University, Pittsburgh, USA (former)
According to our database1,
Stephan Günnemann
authored at least 281 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on cs.cmu.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems.
IEEE Robotics Autom. Lett., October, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.
CoRR, 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging.
CoRR, 2024
CoRR, 2024
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes.
CoRR, 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes.
CoRR, 2024
CoRR, 2024
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy.
CoRR, 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood.
CoRR, 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space.
CoRR, 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
ACM Trans. Math. Softw., December, 2023
Data Min. Knowl. Discov., March, 2023
IEEE Data Eng. Bull., 2023
CoRR, 2023
CoRR, 2023
AI-Enabled Software and System Architecture Frameworks: Focusing on smart Cyber-Physical Systems (CPS).
CoRR, 2023
CoRR, 2023
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly.
CoRR, 2023
CoRR, 2023
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models.
CoRR, 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning.
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023
2022
How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?
Mach. Learn. Sci. Technol., December, 2022
C.DOT - Convolutional Deep Object Tracker for Augmented Reality Based Purely on Synthetic Data.
IEEE Trans. Vis. Comput. Graph., 2022
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.
Trans. Mach. Learn. Res., 2022
Softw. Syst. Model., 2022
Mach. Learn., 2022
Distributed Parallel Databases, 2022
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation.
Data Min. Knowl. Discov., 2022
Dagstuhl Reports, 2022
CoRR, 2022
CoRR, 2022
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Learning on Graphs Conference, 2022
ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022
Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training.
Mach. Learn., 2021
Data Min. Knowl. Discov., 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021
CoRR, 2021
ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services.
CoRR, 2021
Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications.
CoRR, 2021
CoRR, 2021
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Proceedings of the 38th International Conference on Machine Learning, 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.
CoRR, 2020
Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training.
CoRR, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the Symposium on Algorithm Engineering and Experiments, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
2019
Soc. Networks, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019
Proceedings of the Advances in Database Technology, 2019
Proceedings of the Advances in Database Technology, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems.
Proceedings of the Datenbanksysteme für Business, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank.
CoRR, 2018
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
ThingML+: Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning.
Proceedings of MODELS 2018 Workshops: ModComp, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Automatic Algorithm Transformation for Efficient Multi-Snapshot Analytics on Temporal Graphs.
Proc. VLDB Endow., 2017
Knowl. Inf. Syst., 2017
Efficient Batched Distance, Closeness and Betweenness Centrality Computation in Unweighted and Weighted Graphs.
Datenbank-Spektrum, 2017
CoRR, 2017
Personalized Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion.
CoRR, 2017
Deep Gaussian Embedding of Attributed Graphs: Unsupervised Inductive Learning via Ranking.
CoRR, 2017
Proceedings of the Advances in Spatial and Temporal Databases, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 20th International Conference on Extending Database Technology, 2017
Efficient Batched Distance and Centrality Computation in Unweighted and Weighted Graphs.
Proceedings of the Datenbanksysteme für Business, 2017
2016
Knowl. Inf. Syst., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Mach. Learn., 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme.
Proceedings of the LWA 2015 Workshops: KDML, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Knowl. Inf. Syst., 2014
CoRR, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
2013
Proceedings of the Conference on Scientific and Statistical Database Management, 2013
RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Datenbanksysteme für Business, 2013
2012
Data Min. Knowl. Discov., 2012
Data Min. Knowl. Discov., 2012
Proceedings of the Scientific and Statistical Database Management, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Scientific and Statistical Database Management, 2011
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations.
Proceedings of the EDBT 2011, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases.
Proceedings of the Datenbanksysteme für Business, 2011
2010
Proceedings of the Scientific and Statistical Database Management, 2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques.
Proceedings of the ICDMW 2010, 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the ICDM 2010, 2010
Pattern detector: fast detection of suspicious stream patterns for immediate reaction.
Proceedings of the EDBT 2010, 2010
2009
Proc. VLDB Endow., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data.
Proceedings of the ICDM 2009, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Proceedings of the Datenbanksysteme in Business, 2009