1. ICML Workshop Abstract
    Towards General Geometries for Embedding Knowledge Graphs
    Samuel G Fadel, Tino Paulsen, and Sebastian Mair
    In ICML/ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2024
  2. preprint
    Leveraging Activations for Superpixel Explanations
    Ahcène Boubekki, Samuel G Fadel, and Sebastian Mair
    arXiv preprint arXiv:2406.04933, 2024
  3. preprint
    Efficient Radiation Treatment Planning based on Voxel Importance
    Sebastian Mair, Anqi Fu, and Jens Sjölund
    arXiv preprint arXiv:2405.03880, 2024
  4. preprint
    Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
    Maria Bånkestad, Jennifer Andersson, Sebastian Mair, and Jens Sjölund
    arXiv preprint arXiv:2402.10206, 2024
  5. TMLR
    Archetypal Analysis++: Rethinking the Initialization Strategy
    Sebastian Mair, and Jens Sjölund
    Transactions on Machine Learning Research, 2024
    On Feynman–Kac training of partial Bayesian neural networks
    Zheng Zhao, Sebastian Mair, Thomas Schön, and Jens Sjölund
    In International Conference on Artificial Intelligence and Statistics, 2024
  7. IDA
    Self-Supervised Siamese Autoencoders
    Friederike Baier, Sebastian Mair, and Samuel G Fadel
    In International Symposium on Intelligent Data Analysis, 2024


  1. preprint
    Personalized Privacy Amplification via Importance Sampling
    Dominik Fay, Sebastian Mair, and Jens Sjölund
    arXiv preprint arXiv:2307.10187, 2023


  1. Abstract
    Berechnung effizienter Datenzusammenfassungen
    Sebastian Mair
    In Ausgezeichnete Informatikdissertationen 2021, 2022
  2. NLDL Abstract
    Studying the Propagation of Information in VAE Decoders
    Yannick Rudolph, Samuel G Fadel, Sebastian Mair, and Ulf Brefeld
    In Northern Lights Deep Learning Conference, 2022


  1. thesis
    Computing Efficient Data Summaries
    Sebastian Mair
  2. AStA
    Contextual movement models based on normalizing flows
    Samuel G Fadel, Sebastian Mair, Ricardo Silva Torres, and Ulf Brefeld
    AStA Advances in Statistical Analysis, 2021
  3. ECML
    Principled Interpolation in Normalizing Flows
    Samuel G Fadel, Sebastian Mair, Ricardo da S Torres, and Ulf Brefeld
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021


  1. chapter
    Analyzing Positional Data
    Ulf Brefeld, Jan Lasek, and Sebastian Mair
    In Science meets Sports : when Statistics are more than Numbers, 2020
  2. NLDL Abstract
    Efficient Normalizing Flows to Polytopes
    Sebastian Mair, Samuel G Fadel, Ricardo da S Torres, and Ulf Brefeld
    In Northern Lights Deep Learning Workshop, 2020
  3. NLDL Abstract
    An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative Models
    Samuel G Fadel, Sebastian Mair, Ricardo da S Torres, and Ulf Brefeld
    In Northern Lights Deep Learning Workshop, 2020


  1. NeurIPS
    Coresets for Archetypal Analysis
    Sebastian Mair, and Ulf Brefeld
    In Advances in Neural Information Processing Systems, 2019
  2. ECML Workshop
    HyperUCB: Hyperparameter Optimization using Contextual Bandits
    Maryam Tavakol, Sebastian Mair, and Katharina Morik
    In ECML-PKDD Workshop on Automating Data Science, 2019
  3. MachLearn
    Probabilistic movement models and zones of control
    Ulf Brefeld, Jan Lasek, and Sebastian Mair
    Machine Learning, 2019


  1. KAIS
    Distributed robust Gaussian process regression
    Sebastian Mair, and Ulf Brefeld
    Knowledge and Information Systems, 2018
  2. ECML
    Frame-Based Optimal Design
    Sebastian Mair, Yannick Rudolph, Vanessa Closius, and Ulf Brefeld
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018
  3. ICML Workshop Abstract
    Exploiting the Frame for Active Learning in Multi-class Classification
    Sebastian Mair, and Ulf Brefeld
    In ICML Workshop on Geometry in Machine Learning, 2018


  1. KDML Abstract
    Frame-based Matrix Factorizations
    Sebastian Mair, Ahcene Boubekki, and Ulf Brefeld
    In LWDA Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML), 2017
  2. ICML
    Frame-based data factorizations
    Sebastian Mair, Ahcene Boubekki, and Ulf Brefeld
    In International Conference on Machine Learning, 2017


    Universal threshold calculation for fingerprinting decoders using mixture models
    Marcel Schäfer, Sebastian Mair, Waldemar Berchtold, and Martin Steinebach
    In Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security, 2015