Moritz Haas

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Ulrike von LuxburgUniversity of TübingenEmail verificata su informatik.uni-tuebingen.de
David HolzmüllerPostdoc, INRIAEmail verificata su inria.fr
Ingo SteinwartUniversity of StuttgartEmail verificata su mathematik.uni-stuttgart.de
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Email verificata su epfl.ch
Leena Chennuru VankadaraAmazon Research; Previously University of Tübingen and Max Planck Institute, TübingenEmail verificata su uni-tuebingen.de
Jin XuPh.D. Student in Statistics, University of OxfordEmail verificata su stats.ox.ac.uk
Bedartha GoswamiUniversity of TübingenEmail verificata su uni-tuebingen.de

Moritz Haas

Email verificata su uni-tuebingen.de - Home page


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension M Haas, D Holzmüller, U von Luxburg, I Steinwart NeurIPS 2023, 2023	19	2023
Statistical analysis of Wasserstein GANs with applications to time series forecasting M Haas, S Richter arXiv:2011.03074, 2020	9	2020
Pitfalls of Climate Network Construction—A Statistical Perspective M Haas, B Goswami, U von Luxburg Journal of Climate 36 (10), 3321-3342, 2023	4	2023
On Feature Learning in Structured State Space Models LC Vankadara, J Xu, M Haas, V Cevher NeurIPS 2024, 2024	2	2024
: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling M Haas, J Xu, V Cevher, LC Vankadara NeurIPS 2024, 2024		2024

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

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