Malte Ludewig
Information Systems · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 42 citations into it; #1,501 of 8,771 by trust here, #4,188 by citations
- Artificial Intelligence — 33 citations into it; #9,316 of 35,345 by trust here, #20,377 by citations
- Management Science and Operations Research — 18 citations into it; #2,421 of 11,946 by trust here, #4,921 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Recommender Systems — 11 citations into it
- Model Architectures — 10 citations into it
- Signal Processing — 8 citations into it
Whom Malte Ludewig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Balázs Hidasi
- Steffen Rendle
- Massimo Quadrana
- Matthew D. Zeiler
- Alexandros Karatzoglou
- Bartlomiej Twardowski
- Dietmar Jannach
- Yong Kiam Tan
- Geoffrey E. Hinton
- Yoshua Bengio
Who trusts Malte Ludewig overall
- Shoujin Wang
- Longbing Cao
- Jiaxi Tang
- Dietmar Jannach
- Aminu Da’u
- Shuai Zhang
- Massimo Quadrana
- Ruihong Qiu
- Yan Wang
- Le Wu
Papers from Malte Ludewig's perspective
Ordered by how strongly the researchers Malte Ludewig trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation (2017) — 494 citations
- Evaluation of session-based recommendation algorithms (2018) — 322 citations