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David Belius
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2020 – today
- 2024
- [c3]Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius:
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. ICML 2024 - [i6]Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius:
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. CoRR abs/2402.01297 (2024) - [i5]Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius:
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression. CoRR abs/2410.17796 (2024) - 2023
- [c2]Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius:
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. NeurIPS 2023 - [i4]Antoine Maillard, Afonso S. Bandeira, David Belius
, Ivan Dokmanic
Injectivity of ReLU networks: perspectives from statistical physics. CoRR abs/2302.14112 (2023) - [i3]Tin Sum Cheng, Aurélien Lucchi, Ivan Dokmanic, Anastasis Kratsios, David Belius
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. CoRR abs/2310.00987 (2023) - 2022
- [j1]Tianlin Liu
Learning Multiscale Convolutional Dictionaries for Image Reconstruction. IEEE Trans. Computational Imaging 8: 425-437 (2022) - [c1]Maxim Samarin, Volker Roth, David Belius:
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. UAI 2022: 1718-1727 - 2020
- [i2]Maxim Samarin, Volker Roth, David Belius:
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures. CoRR abs/2006.13645 (2020) - [i1]Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic:
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. CoRR abs/2011.12815 (2020)
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