Gellért Weisz

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Reinforcement Learning — 26 citations into it
• Natural Language Processing — 14 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Management Science and Operations Research — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Gellért Weisz trusts overall

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

1. Richard S. Sutton
2. Susannah Young
3. Diederik P. Kingma
4. Frank Hutter
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Jan Peters
8. Volodymyr Mnih
9. Jimmy Ba
10. Alex Krizhevsky

Who trusts Gellért Weisz overall

1. Christian Geishauser
2. Carel van Niekerk
3. Zhi Chen
4. Marc-André Zöller
5. Nurul Lubis
6. Michael Heck
7. Lu Chen
8. Hsien-Chin Lin
9. Marco F. Huber

Papers from Gellért Weisz's perspective

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

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

Their papers

• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• LEAPSANDBOUNDS: A Method for Approximately Optimal Algorithm Configuration (2018) — 37 citations
• Sample Efficient Deep Reinforcement Learning for Dialogue Systems With Large Action Spaces (2018) — 87 citations