Christian Kümmerle

According to our database, Christian Kümmerle authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Transition Operators From Sparse Space-Time Samples.

Christian Kümmerle, Mauro Maggioni, Sui Tang

IEEE Trans. Inf. Theory, September, 2024

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization.

Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle

CoRR, 2024

An Exposition of Pathfinding Strategies Within Lightning Network Clients.

Sindura Saraswathi, Christian Kümmerle

CoRR, 2024

Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees.

Xuemei Chen, Christian Kümmerle, Rongrong Wang

CoRR, 2024

Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads.

Ali Khaleghi Rahimian, Manish Kumar Govind, Subhajit Maity, Dominick Reilly, Christian Kümmerle, Srijan Das, Aritra Dutta

CoRR, 2024

UnitNorm: Rethinking Normalization for Transformers in Time Series.

Nan Huang, Christian Kümmerle, Xiang Zhang

CoRR, 2024

Linear Convergence of Iteratively Reweighted Least Squares for Nuclear Norm Minimization.

Christian Kümmerle, Dominik Stöger

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

2023

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.

Christian Kümmerle, Johannes Maly

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.

Liangzu Peng, Christian Kümmerle, René Vidal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.

Liangzu Peng, Christian Kümmerle, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Dictionary-Sparse Recovery From Heavy-Tailed Measurements.

Pedro Abdalla, Christian Kümmerle

CoRR, 2021

Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate.

Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples.

Christian Kümmerle, Claudio Mayrink Verdun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Iteratively Reweighted Least Squares for 𝓁₁-minimization with Global Linear Convergence Rate.

Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger

CoRR, 2020

On the robustness of noise-blind low-rank recovery from rank-one measurements.

Felix Krahmer, Christian Kümmerle, Oleh Melnyk

CoRR, 2020

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method.

Christian Kümmerle, Claudio Mayrink Verdun

CoRR, 2020

2019

On the geometry of polytopes generated by heavy-tailed random vectors.

Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut

CoRR, 2019

The Oracle of DLphi.

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

CoRR, 2019

2018

Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery.

Christian Kümmerle, Juliane Sigl

J. Mach. Learn. Res., 2018

Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares.

Christian Kümmerle, Claudio Mayrink Verdun

CoRR, 2018