Monica Dinculescu

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it; #14,135 of 21,575 by trust here, #8,021 by citations
• Generative Models — 39 citations into it; #1,347 of 1,956 by trust here, #949 by citations
• Signal Processing — 34 citations into it; #4,742 of 7,572 by trust here, #1,538 by citations
• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 21 citations into it
• Cognitive Neuroscience — 18 citations into it
• Model Architectures — 11 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Monica Dinculescu trusts overall

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

1. David R Ha
2. Adam Roberts
3. Cheng-Zhi Anna Huang
4. Douglas Eck
5. Ashish Vaswani
6. Geoffrey E. Hinton
7. Jesse Engel
8. Yoshua Bengio
9. Diederik P. Kingma
10. Richard S. Sutton

Who trusts Monica Dinculescu overall

1. Yu-Siang Huang

Papers from Monica Dinculescu's perspective

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

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

Their papers

• Music Transformer: Generating Music with Long-Term Structure (2018) — 598 citations
• Human-AI Co-Creation in Songwriting (2020) — 109 citations
• Encoding Musical Style with Transformer Autoencoders (2019) — 104 citations
• MidiMe: Personalizing a MusicVAE model with user data (2019) — 33 citations
• Adaptive Control of Epileptic Seizures using Reinforcement Learning (2010)