Maximilian Schall

Artificial Intelligence · 2024–2026

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 11 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Maximilian Schall trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Nils Reimers
4. Diederik P. Kingma
5. Ashish Vaswani
6. Ilya Sutskever

Papers from Maximilian Schall's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems (2026)
• NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents (2024)
• : Masked Language Modeling with Higher-Level Representations for Long Documents