Felix Kreuk
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 8 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 203 citations into it
- Signal Processing — 115 citations into it
- Speech & Audio — 105 citations into it
- Computer Vision and Pattern Recognition — 78 citations into it
- Generative Models — 63 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Model Architectures — 18 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
Whom Felix Kreuk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Jimmy Ba
- Ilya Sutskever
- Aäron van den Oord
- Kaiming He
- Oriol Vinyals
- Alex Graves
Who trusts Felix Kreuk overall
- Haohe Liu
- Jade Copet
- Dongchao Yang
- Adam Polyak
- Xu Tan
- Alexandre D'efossez
- Rongjie Huang
- Xinhao Mei
- Yossi Adi
- Terry Yue Zhuo
Papers from Felix Kreuk's perspective
Ordered by how strongly the researchers Felix Kreuk 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- AudioGen: Textually Guided Audio Generation (2022) — 466 citations
- Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation (2020) — 91 citations
- Textually Pretrained Speech Language Models (2023) — 112 citations
- The Llama 3 Herd of Models (2024) — 17,085 citations
- Discrete Flow Matching (2024) — 313 citations
- Simple and Controllable Music Generation (2023) — 745 citations
- EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis (2023) — 130 citations
- Textless Speech Emotion Conversion using Decomposed and Discrete Representations (2021) — 42 citations