E-LIB Suche - Ergebnisse für: Holzmüller, David

1

Convergence Rates for Non-Log-Concave Sampling and Log-Part..:

Holzmüller, David ; Bach, Francis
info:eu-repo/grantAgreement//724063/EU/Robust algorithms for learning from modern data/SEQUOIA. , 2023

Link: https://hal.science/hal-..

2

Convergence Rates for Non-Log-Concave Sampling and Log-Part..:

Holzmüller, David ; Bach, Francis
info:eu-repo/grantAgreement//724063/EU/Robust algorithms for learning from modern data/SEQUOIA. , 2023

Link: https://hal.science/hal-..

3

Convergence Rates for Non-Log-Concave Sampling and Log-Part..:

Holzmüller, David ; Bach, Francis
http://arxiv.org/abs/2303.03237. , 2023

Link: http://arxiv.org/abs/230..

4

Regression from linear models to neural networks : double d..:

Holzmüller, David
1859132677. , 2023

Link: https://doi.org/10.18419..

5

Uncertainty-biased molecular dynamics for learning uniforml..:

Zaverkin, Viktor ; Holzmüller, David ; Christiansen, Henrik...
http://arxiv.org/abs/2312.01416. , 2023

Link: http://arxiv.org/abs/231..

6

Predicting Properties of Periodic Systems from Cluster Data..:

Zaverkin, Viktor ; Holzmüller, David ; Schuldt, Robin.
http://arxiv.org/abs/2312.01414. , 2023

Link: http://arxiv.org/abs/231..

7

Mind the spikes: Benign overfitting of kernels and neural n..:

Haas, Moritz ; Holzmüller, David ; von Luxburg, Ulrike.
http://arxiv.org/abs/2305.14077. , 2023

Link: http://arxiv.org/abs/230..

8

Transfer learning for chemically accurate interatomic neura..:

Zaverkin, Viktor ; Holzmüller, David ; Bonfirraro, Luca.
http://arxiv.org/abs/2212.03916. , 2022

Link: http://arxiv.org/abs/221..

9

A Framework and Benchmark for Deep Batch Active Learning fo..:

Holzmüller, David ; Zaverkin, Viktor ; Kästner, Johannes.
http://arxiv.org/abs/2203.09410. , 2022

Link: http://arxiv.org/abs/220..

10

Predicting Properties of Periodic Systems from Cluster Data..:

Zaverkin, Viktor ; Holzmüller, David ; Schuldt, Robin.
doi:10.5281/zenodo.5817132. , 2022

Link: https://zenodo.org/recor..

11

Fast and Sample-Efficient Interatomic Neural Network Potent..:

Zaverkin, Viktor ; Holzmüller, David ; Steinwart, Ingo.
http://arxiv.org/abs/2109.09569. , 2021

Link: http://arxiv.org/abs/210..

12

Muscles Reduce Neuronal Information Load: Quantification of..:

Haeufle, Daniel F. B ; Wochner, Isabell ; Holzmüller, David...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805995/. , 2020

Link: http://www.ncbi.nlm.nih...

13

Training Two-Layer ReLU Networks with Gradient Descent is I..:

Holzmüller, David ; Steinwart, Ingo
http://arxiv.org/abs/2002.04861. , 2020

Link: http://arxiv.org/abs/200..

14

On the Universality of the Double Descent Peak in Ridgeless..:

Holzmüller, David
http://arxiv.org/abs/2010.01851. , 2020

Link: http://arxiv.org/abs/201..

15

Convergence Analysis of Neural Networks:

Holzmüller, David
1689798173. , 2019

Link: https://doi.org/10.18419..