Aaron Courville
- Yoshua Bengio
- Ian Goodfellow
- Nicholas Léonard
- Iulian Vlad Serban
- Joëlle Pineau
- Dumitru Erhan
- Samy Bengio
- Alessandro Sordoni
- Pierre-Antoine Manzagol
- Pascal Vincent
- Pierre Carrier
- Mehdi Mirza
- Ben Hamner
- Will Cukierski
- Yichuan Tang
- David S. Thaler
- Dong‐Hyun Lee
- Yingbo Zhou
- Chetan Ramaiah
- Fangxiang Feng
- Ruifan Li
- Xiaojie Wang
- Dimitris Athanasakis
- John Shawe‐Taylor
Aaron Courville
collaborator
line weight = collaboration weight
Works in this corpus
| Title | Position | Year | Cited |
|---|---|---|---|
| Deep Learning | last | 2016 | 8,952 |
| Why Does Unsupervised Pre-training Help Deep Learning? | middle | 2010 | 2,114 |
| Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation | last | 2013 | 1,996 |
| Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models | middle | 2016 | 1,725 |
| Challenges in Representation Learning: A Report on Three Machine Learning Contests | middle | 2013 | 1,588 |
Is this one person?
This record carries a person-claimed ORCID and no signal that it mixes two people.
- supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
- supports2 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
- supportsAt most 1 distinct institution(s) inside any five-year window, which is a normal career.
- supports92% of this row's works sit in its single largest field.
- neutralConfidence is judged on the 5 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.