Florian Kalinke

24 papers A* 1A 3B 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kernel Integrated R
CoRR
Pouya Roudaki, Shakeel Gavioli-Akilagun, Florian Kalinke, Mona Azadkia, Zoltán Szabó
2025 J jnl
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection.
Trans. Mach. Learn. Res.
Florian Kalinke, Marco Heyden, Georg Gntuni, Edouard Fouché, Klemens Böhm
2025 A conf
Nyström Kernel Stein Discrepancy.
AISTATS
Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur
2025 J jnl
Optimal Online Change Detection via Random Fourier Features.
CoRR
Florian Kalinke, Shakeel Gavioli-Akilagun
2025 A conf
Partial-Label Learning with Conformal Candidate Cleaning.
UAI
Tobias Fuchs, Florian Kalinke
2025 J jnl
Partial-Label Learning with Conformal Candidate Cleaning.
CoRR
Tobias Fuchs, Florian Kalinke
2025 J jnl
Partial-Label Learning with a Reject Option.
Trans. Mach. Learn. Res.
Tobias Fuchs, Florian Kalinke, Klemens Böhm
2025 J jnl
Robust Partial-Label Learning by Leveraging Class Activation Values.
CoRR
Tobias Fuchs, Florian Kalinke
2025 J jnl
Robust partial-label learning by leveraging class activation values.
Mach. Learn.
Tobias Fuchs, Florian Kalinke
2025 J jnl
The Minimax Lower Bound of Kernel Stein Discrepancy Estimation.
CoRR
Jose Cribeiro-Ramallo, Agnideep Aich, Florian Kalinke, Ashit Baran Aich, Zoltán Szabó
2024 J jnl
Adaptive Bernstein change detector for high-dimensional data streams.
Data Min. Knowl. Discov.
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
2024 J jnl
Nyström Kernel Stein Discrepancy.
CoRR
Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur
2024 A* conf
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels.
NeurIPS
Florian Kalinke, Zoltán Szabó
2024 J jnl
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels.
CoRR
Florian Kalinke, Zoltán Szabó
2024 J jnl
Uncertainty-Aware Partial-Label Learning.
CoRR
Tobias Fuchs, Florian Kalinke, Klemens Böhm
2023 J jnl
Adaptive Bernstein Change Detector for High-Dimensional Data Streams.
CoRR
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
2023 B conf
Multi-kernel Times Series Outlier Detection.
DS
Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm
2023 J jnl
Nyström M-Hilbert-Schmidt Independence Criterion.
CoRR
Florian Kalinke, Zoltán Szabó
2023 A conf
Nyström M-Hilbert-Schmidt independence criterion.
UAI
Florian Kalinke, Zoltán Szabó
2022 J jnl
Scalable Online Change Detection for High-dimensional Data Streams.
CoRR
Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm
2021 J jnl
A framework for dependency estimation in heterogeneous data streams.
Distributed Parallel Databases
Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm
2021 — conf
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data.
e-Energy
Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm
2021 J jnl
Efficient subspace search in data streams.
Inf. Syst.
Edouard Fouché, Florian Kalinke, Klemens Böhm
2020 J jnl
Efficient Subspace Search in Data Streams.
CoRR
Edouard Fouché, Florian Kalinke, Klemens Böhm