Sebastian Krumscheid

Optimization & Training · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 9 citations into it
• Computational Mechanics — 5 citations into it

Whom Sebastian Krumscheid trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Ruppert
2. Francis R. Bach
3. Anatoli B. Juditsky
4. Boris Polyak
5. Ivo Babuska
6. Aymeric Dieuleveut
7. Alexandre D'efossez
8. Mark W. Schmidt

Papers from Sebastian Krumscheid's perspective

Ordered by how strongly the researchers Sebastian Krumscheid trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Stochastic Approximation Method
2. Acceleration of stochastic approximation by averaging
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Stochastic Approximation approach to Stochastic Programming
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters (2021) — 59 citations