Pierre Dumouchel
Artificial Intelligence · 2005–2013
A researcher in the Science corpus: 8 papers; trusts 26 researchers and is trusted by 96 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #2,341 of 35,345 by trust here, #3,487 by citations
- Signal Processing — 19 citations into it; #242 of 7,572 by trust here, #296 by citations
- Probabilistic & Bayesian Methods — 10 citations into it
- Speech & Audio — 10 citations into it; #261 of 1,076 by trust here, #220 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Natural Language Processing — 6 citations into it
Whom Pierre Dumouchel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrick Kenny
- Nelson Morgan
- George E. Dahl
- Geoffrey E. Hinton
- Douglas A. Reynolds
- Jason W. Pelecanos
- Mark John Francis Gales
- Najim Dehak
- Ruslan Salakhutdinov
- Abdel-rahman Mohamed
Who trusts Pierre Dumouchel overall
- Patrick Kenny
- Najim Dehak
- Ming Li
- Vasileios Vasilakakis
- Joon Son Chung
- Sandro Cumani
- Daniel Povey
- Haizhou Li
- Zhongxin Bai
- Ehsan Variani
Papers from Pierre Dumouchel's perspective
Ordered by how strongly the researchers Pierre Dumouchel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Learning Deep Architectures for AI
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Front-End Factor Analysis for Speaker Verification (2011) — 3,573 citations
- A Study of Interspeaker Variability in Speaker Verification (2008) — 704 citations
- Text-dependent speaker recognition using PLDA with uncertainty propagation (2013) — 85 citations
- Joint Factor Analysis Versus Eigenchannels in Speaker Recognition (2007) — 789 citations
- Large Vocabulary Speech Recognition on Parallel Architectures (2013) — 4 citations
- Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification (2009) — 392 citations
- Preliminary investigation of Boltzmann machine classifiers for speaker recognition (2012) — 45 citations
- Eigenvoice modeling with sparse training data (2005) — 550 citations