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Christian Kümmerle
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2020 – today
- 2024
- [j2]Christian Kümmerle
, Mauro Maggioni, Sui Tang
Learning Transition Operators From Sparse Space-Time Samples. IEEE Trans. Inf. Theory 70(9): 6412-6446 (2024) - [c6]Christian Kümmerle, Dominik Stöger:
Linear Convergence of Iteratively Reweighted Least Squares for Nuclear Norm Minimization. SAM 2024: 1-5 - [i16]Nan Huang, Christian Kümmerle, Xiang Zhang:
UnitNorm: Rethinking Normalization for Transformers in Time Series. CoRR abs/2405.15903 (2024) - [i15]Ali Khaleghi Rahimian, Manish Kumar Govind, Subhajit Maity, Dominick Reilly, Christian Kümmerle, Srijan Das, Aritra Dutta:
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads. CoRR abs/2406.19391 (2024) - [i14]Xuemei Chen, Christian Kümmerle, Rongrong Wang:
Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees. CoRR abs/2408.16166 (2024) - [i13]Sindura Saraswathi, Christian Kümmerle:
An Exposition of Pathfinding Strategies Within Lightning Network Clients. CoRR abs/2410.13784 (2024) - [i12]Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle:
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization. CoRR abs/2410.16982 (2024) - 2023
- [c5]Liangzu Peng, Christian Kümmerle, René Vidal:
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR 2023: 17808-17818 - [c4]Christian Kümmerle, Johannes Maly:
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. NeurIPS 2023 - [i11]Christian Kümmerle, Johannes Maly:
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. CoRR abs/2306.04961 (2023) - 2022
- [c3]Liangzu Peng, Christian Kümmerle, René Vidal:
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS 2022 - [i10]Christian Kümmerle, Mauro Maggioni, Sui Tang:
Learning Transition Operators From Sparse Space-Time Samples. CoRR abs/2212.00746 (2022) - 2021
- [c2]Christian Kümmerle, Claudio Mayrink Verdun:
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. ICML 2021: 5872-5883 - [c1]Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger:
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate. NeurIPS 2021: 2873-2886 - [i9]Pedro Abdalla, Christian Kümmerle:
Dictionary-Sparse Recovery From Heavy-Tailed Measurements. CoRR abs/2101.08298 (2021) - [i8]Christian Kümmerle, Claudio Mayrink Verdun:
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. CoRR abs/2106.02119 (2021) - 2020
- [i7]Christian Kümmerle, Claudio Mayrink Verdun:
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method. CoRR abs/2009.02905 (2020) - [i6]Felix Krahmer, Christian Kümmerle, Oleh Melnyk:
On the robustness of noise-blind low-rank recovery from rank-one measurements. CoRR abs/2010.12402 (2020) - [i5]Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger:
Iteratively Reweighted Least Squares for 𝓁1-minimization with Global Linear Convergence Rate. CoRR abs/2012.12250 (2020)
2010 – 2019
- 2019
- [i4]Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber:
The Oracle of DLphi. CoRR abs/1901.05744 (2019) - [i3]Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson
On the geometry of polytopes generated by heavy-tailed random vectors. CoRR abs/1907.07258 (2019) - 2018
- [j1]Christian Kümmerle, Juliane Sigl:
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery. J. Mach. Learn. Res. 19: 47:1-47:49 (2018) - [i2]Christian Kümmerle, Claudio Mayrink Verdun:
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares. CoRR abs/1811.07472 (2018) - 2017
- [i1]Christian Kümmerle, Juliane Sigl:
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery. CoRR abs/1703.05038 (2017)
Coauthor Index
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last updated on 2024-11-28 20:28 CET by the dblp team
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