Alexis Moinet
Artificial Intelligence · 2015–2024
A researcher in the Science corpus: 10 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 169 citations into it; #30,547 of 35,345 by trust here, #13,353 by citations
- Signal Processing — 96 citations into it; #6,534 of 7,572 by trust here, #2,276 by citations
- Speech & Audio — 80 citations into it
- Generative Models — 47 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
- Optimization & Training — 5 citations into it
Whom Alexis Moinet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Heiga Zen
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Graves
- Aäron van den Oord
- Alex Krizhevsky
- Karen Simonyan
- Yann LeCun
- Jimmy Ba
Who trusts Alexis Moinet overall
Papers from Alexis Moinet's perspective
Ordered by how strongly the researchers Alexis Moinet 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (2024) — 125 citations
- eCat: An End-to-End Model for Multi-Speaker TTS & Many-to-Many Fine-Grained Prosody Transfer (2023) — 3 citations
- Controllable Emphasis with zero data for text-to-speech (2023) — 6 citations
- A Comparative Analysis of Pretrained Language Models for Text-to-Speech (2023) — 3 citations
- Distribution Augmentation for Low-Resource Expressive Text-To-Speech (2022) — 10 citations
- CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer (2022) — 17 citations
- CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech (2020) — 74 citations
- Towards Achieving Robust Universal Neural Vocoding (2018) — 96 citations
- Parameter Generation Algorithms for Text-To-Speech Synthesis with Recurrent Neural Networks (2018) — 5 citations
- An HMM approach for synthesizing amused speech with a controllable intensity of smile (2015) — 18 citations