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Hugo Blox Builder - Import latest publications
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@article{haas2020statistical, | ||
author = {Haas, Moritz and Richter, Stefan}, | ||
journal = {arXiv:2011.03074}, | ||
title = {Statistical analysis of wasserstein gans with applications to time series forecasting}, | ||
year = {2020} | ||
} |
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--- | ||
title: Statistical analysis of wasserstein gans with applications to time series forecasting | ||
authors: | ||
- Moritz Haas | ||
- Stefan Richter | ||
date: '2020-11-01' | ||
publishDate: '2020-11-01' | ||
publication_types: | ||
- arXiv-preprint | ||
publication: '*arXiv:2011.03074*' | ||
--- |
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@inproceedings{haas2023mindthespikes, | ||
author = {Haas, Moritz and Holzmüller, David and Luxburg, Ulrike and Steinwart, Ingo}, | ||
booktitle = {Advances in Neural Information Processing Systems}, | ||
pages = {20763--20826}, | ||
title = {Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension}, | ||
url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/421f83663c02cdaec8c3c38337709989-Paper-Conference.pdf}, | ||
volume = {36}, | ||
year = {2023} | ||
} |
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--- | ||
title: 'Mind the spikes: Benign overfitting of kernels and neural networks in fixed | ||
dimension' | ||
authors: | ||
- Moritz Haas | ||
- David Holzmüller | ||
- Ulrike Luxburg | ||
- Ingo Steinwart | ||
date: '2023-05-01' | ||
publishDate: '2023-05-01' | ||
publication_types: | ||
- paper-conference | ||
publication: '*Advances in Neural Information Processing Systems*' | ||
url_pdf: | ||
https://proceedings.neurips.cc/paper_files/paper/2023/file/421f83663c02cdaec8c3c38337709989-Paper-Conference.pdf | ||
--- |
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@article{haas2023pitfalls, | ||
author = {Haas, Moritz and Goswami, Bedartha and von Luxburg, Ulrike}, | ||
journal = {Journal of Climate}, | ||
number = {10}, | ||
pages = {3321--3342}, | ||
title = {Pitfalls of climate network construction—a statistical perspective}, | ||
volume = {36}, | ||
year = {2023} | ||
} |
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--- | ||
title: Pitfalls of climate network construction—a statistical perspective | ||
authors: | ||
- Moritz Haas | ||
- Bedartha Goswami | ||
- Ulrike von Luxburg | ||
date: '2023-04-20' | ||
publishDate: '2023-04-20T15:22:26.631765Z' | ||
publication_types: | ||
- article-journal | ||
publication: '*Journal of Climate*' | ||
--- |
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@inproceedings{haas2024effective, | ||
author = {Moritz Haas and Jin Xu and Volkan Cevher and Leena Chennuru Vankadara}, | ||
booktitle = {The Thirty-eighth Annual Conference on Neural Information Processing Systems}, | ||
title = {$\boldsymbolμ\mathbfP^2$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling}, | ||
url = {https://openreview.net/forum?id=pR5g1bBqoV}, | ||
year = {2024} | ||
} |
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--- | ||
title: '$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise | ||
Perturbation Scaling' | ||
authors: | ||
- Moritz Haas | ||
- Jin Xu | ||
- Volkan Cevher | ||
- Leena Chennuru Vankadara | ||
date: '2024-10-31' | ||
publishDate: '2024-10-31T15:22:26.605219Z' | ||
publication_types: | ||
- paper-conference | ||
publication: '*The Thirty-eighth Annual Conference on Neural Information Processing | ||
Systems*' | ||
links: | ||
- name: URL | ||
url: https://openreview.net/forum?id=pR5g1bBqoV | ||
--- |
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@inproceedings{vankadara, | ||
author = {Leena Chennuru Vankadara* and Jin Xu* and Moritz Haas and Volkan Cevher}, | ||
booktitle = {The Thirty-eighth Annual Conference on Neural Information Processing Systems}, | ||
title = {On Feature Learning in Structured State Space Models}, | ||
url = {https://openreview.net/forum?id=aQv5AbN1wF}, | ||
year = {2024} | ||
} |
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--- | ||
title: On Feature Learning in Structured State Space Models | ||
authors: | ||
- Leena Chennuru Vankadara* | ||
- Jin Xu* | ||
- Moritz Haas | ||
- Volkan Cevher | ||
date: '2024-10-31' | ||
publishDate: '2024-10-31T15:22:26.618294Z' | ||
publication_types: | ||
- paper-conference | ||
publication: '*The Thirty-eighth Annual Conference on Neural Information Processing | ||
Systems*' | ||
links: | ||
- name: URL | ||
url: https://openreview.net/forum?id=aQv5AbN1wF | ||
--- |