Sebastian Mair

27 papers A* 2A 1C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI.
CoRR
Sophia N. Wilson, Sebastian Mair, Mophat Okinyi, Erik B. Dam, Janin Koch, Raghavendra Selvan
2026 J jnl
Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
CoRR
Sophia N. Wilson, Guðrún Fjóla Guðmundsdóttir, Andrew Millard, Raghavendra Selvan, Sebastian Mair
2025 J jnl
A Survey on Archetypal Analysis.
CoRR
Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten Mørup
2025 J jnl
Personalized Privacy Amplification via Importance Sampling.
Trans. Mach. Learn. Res.
Dominik Fay, Sebastian Mair, Jens Sjölund
2024 J jnl
Archetypal Analysis++: Rethinking the Initialization Strategy.
Trans. Mach. Learn. Res.
Sebastian Mair, Jens Sjölund
2024 J jnl
Efficient Radiation Treatment Planning based on Voxel Importance.
CoRR
Sebastian Mair, Anqi Fu, Jens Sjölund
2024 J jnl
Explaining the Impact of Training on Vision Models via Activation Clustering.
CoRR
Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair
2024 — conf
Ising on the Graph: Task-Specific Graph Subsampling via the Ising Model.
LoG
Maria Bånkestad, Jennifer R. Andersson, Sebastian Mair, Jens Sjölund
2024 J jnl
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model.
CoRR
Maria Bånkestad, Jennifer R. Andersson, Sebastian Mair, Jens Sjölund
2024 J jnl
Leveraging Activations for Superpixel Explanations.
CoRR
Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair
2024 A conf
On Feynman-Kac training of partial Bayesian neural networks.
AISTATS
Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
2024 — conf
Self-supervised Siamese Autoencoders.
IDA (1)
Friederike Baier, Sebastian Mair, Samuel G. Fadel
2023 J jnl
Archetypal Analysis++: Rethinking the Initialization Strategy.
CoRR
Sebastian Mair, Jens Sjölund
2023 J jnl
On Feynman-Kac training of partial Bayesian neural networks.
CoRR
Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
2023 J jnl
Privacy Amplification via Importance Sampling.
CoRR
Dominik Fay, Sebastian Mair, Jens Sjölund
2023 J jnl
Self-Supervised Siamese Autoencoders.
CoRR
Friederike Baier, Sebastian Mair, Samuel G. Fadel
2022 — —
Computing efficient data summaries.
Sebastian Mair
2021 — ch.
Berechnung effizienter Datenzusammenfassungen.
Ausgezeichnete Informatikdissertationen
Sebastian Mair
2021 — conf
Principled Interpolation in Normalizing Flows.
ECML/PKDD (2)
Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
2020 J jnl
Principled Interpolation in Normalizing Flows.
CoRR
Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
2019 A* conf
Coresets for Archetypal Analysis.
NeurIPS
Sebastian Mair, Ulf Brefeld
2019 — conf
HyperUCB: Hyperparameter Optimization Using Contextual Bandits.
PKDD/ECML Workshops (1)
Maryam Tavakol, Sebastian Mair, Katharina Morik
2019 J jnl
Probabilistic movement models and zones of control.
Mach. Learn.
Ulf Brefeld, Jan Lasek, Sebastian Mair
2018 J jnl
Distributed robust Gaussian Process regression.
Knowl. Inf. Syst.
Sebastian Mair, Ulf Brefeld
2018 — conf
Frame-Based Optimal Design.
ECML/PKDD (2)
Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld
2017 A* conf
Frame-based Data Factorizations.
ICML
Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
2015 C conf
Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models.
IH&MMSec
Marcel Schäfer, Sebastian Mair, Waldemar Berchtold, Martin Steinebach