publications

2024

  1. preprint
    Leveraging Activations for Superpixel Explanations
    Ahcène Boubekki, Samuel G Fadel, and Sebastian Mair
    arXiv preprint arXiv:2406.04933, 2024
    PDF
  2. LoG
    Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
    Maria Bånkestad, Jennifer Andersson, Sebastian Mair, and Jens Sjölund
    In Learning on Graphs Conference, 2024
    PDF
  3. Phys.Med.Biol.
    Efficient radiation treatment planning based on voxel importance
    Sebastian Mair, Anqi Fu, and Jens Sjölund
    Physics in Medicine & Biology, Aug 2024
    HTML PDF
  4. 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, Aug 2024
    Abs HTML PDF
  5. TMLR
    Archetypal Analysis++: Rethinking the Initialization Strategy
    Sebastian Mair, and Jens Sjölund
    Transactions on Machine Learning Research, Aug 2024
    HTML PDF
  6. AISTATS
    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, Aug 2024
    PDF
  7. IDA
    Self-Supervised Siamese Autoencoders
    Friederike Baier, Sebastian Mair, and Samuel G Fadel
    In International Symposium on Intelligent Data Analysis, Aug 2024
    HTML PDF

2023

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

2022

  1. Abstract
    Berechnung effizienter Datenzusammenfassungen
    Sebastian Mair
    In Ausgezeichnete Informatikdissertationen 2021, Aug 2022
    HTML PDF
  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, Aug 2022
    Abs PDF

2021

  1. thesis
    Computing Efficient Data Summaries
    Sebastian Mair
    Aug 2021
    HTML PDF
  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, Aug 2021
    HTML PDF
  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, Aug 2021
    HTML PDF Video Poster Slides

2020

  1. chapter
    Analyzing Positional Data
    Ulf Brefeld, Jan Lasek, and Sebastian Mair
    In Science meets Sports : when Statistics are more than Numbers, Aug 2020
    HTML
  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, Aug 2020
    Abs
  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, Aug 2020
    Abs

2019

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

2018

  1. KAIS
    Distributed robust Gaussian process regression
    Sebastian Mair, and Ulf Brefeld
    Knowledge and Information Systems, Aug 2018
    HTML PDF
  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, Aug 2018
    HTML PDF
  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, Aug 2018
    Abs PDF

2017

  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), Aug 2017
    Abs PDF
  2. ICML
    Frame-based data factorizations
    Sebastian Mair, Ahcene Boubekki, and Ulf Brefeld
    In International Conference on Machine Learning, Aug 2017
    HTML PDF

2015

  1. IHMMSEC
    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, Aug 2015
    HTML PDF