Nicholas P. Tatonetti

Generative Models · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Nicholas P. Tatonetti trusts overall

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

1. Andrew Bate
2. Monica Campillos
3. Michael Kuhn
4. Ana Szarfman
5. S. Evans
6. Stella G. Machado
7. Lars Juhl Jensen

Who trusts Nicholas P. Tatonetti overall

1. Feixiong Cheng
2. Marinka Zitnik
3. Fei Wang
4. Riccardo Miotto
5. Ping Zhang
6. Tengfei Ma
7. Robert Eriksson
8. William L. Hamilton
9. Assaf Gottlieb
10. Scott J. Dixon

Papers from Nicholas P. Tatonetti's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Visualizing Data using t-SNE
3. Image-to-Image Translation with Conditional Adversarial Networks
4. Generative Adversarial Text to Image Synthesis
5. Generating Videos with Scene Dynamics
6. Deep multi-scale video prediction beyond mean square error
7. Drug Target Identification Using Side-Effect Similarity
8. Adversarially Learned Inference
9. A side effect resource to capture phenotypic effects of drugs
10. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

Their papers

• Data-Driven Prediction of Drug Effects and Interactions (2012) — 898 citations
• Pharmacological inhibition of cystine–glutamate exchange induces endoplasmic reticulum stress and ferroptosis (2014) — 1,748 citations
• Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories (2017) — 43 citations