Eric Malmi
Artificial Intelligence · 2012–2025
A researcher in the Science corpus: 6 papers; trusts 175 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 141 citations into it; #21,275 of 35,345 by trust here, #11,490 by citations
- Natural Language Processing — 115 citations into it; #3,627 of 5,688 by trust here, #3,332 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #18,560 of 21,575 by trust here, #11,498 by citations
- Large Language Models — 33 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Model Architectures — 11 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Eric Malmi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Oriol Vinyals
- Alex Krizhevsky
- Sepp Hochreiter
- Yann LeCun
- Alex Graves
- Radford M. Neal
Who trusts Eric Malmi overall
- Felix Stahlberg
- Rahul Aralikatte
- Wanyu Du
- Shaked Brody
- Sachin Kumar
- Machel Reid
- Xin Sun
- Yu Wang
- Jonathan Mallinson
- Kostiantyn Omelianchuk
Papers from Eric Malmi's perspective
Ordered by how strongly the researchers Eric Malmi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Teaching Small Language Models to Reason (2022) — 417 citations
- FELIX: Flexible Text Editing Through Tagging and Insertion (2020) — 89 citations
- Encode, Tag, Realize: High-Precision Text Editing (2019) — 191 citations
- Semi-supervised detection of collective anomalies with an application in high energy particle physics (2012) — 28 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Controlled Text Generation as Continuous Optimization with Multiple Constraints (2021) — 90 citations