Xavier Bouthillier
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Co-authors
- Pascal VincentPascal LamblinSamira Ebrahimi KahouAaron CourvilleYann DauphinYoshua BengioChristopher PalRoland Memisevic
- Topics
- Scientific Computing and Data Management (2 papers)Emotion and Mood Recognition (1 paper)Neural Networks and Applications (1 paper)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionSignal Processing
- Journals
- Journal on Multimodal User InterfacesNeural Information Processing SystemsInternational Conference on Machine Learning
In The Last Decade
Xavier Bouthillier
4 papers receiving 282 citations
Peers
Comparison fields: 5 of 70
- Experimental and Cognitive Psychology 154
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 109
- Signal Processing 48
- Cognitive Neuroscience 42
Countries citing papers authored by Xavier Bouthillier
This map shows the geographic impact of Xavier Bouthillier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xavier Bouthillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Bouthillier more than expected).
Fields of papers citing papers by Xavier Bouthillier
This network shows the impact of papers produced by Xavier Bouthillier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xavier Bouthillier. The network helps show where Xavier Bouthillier may publish in the future.
Co-authorship network of co-authors of Xavier Bouthillier
This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Bouthillier. A scholar is included among the top collaborators of Xavier Bouthillier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xavier Bouthillier. Xavier Bouthillier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Unreproducible Research is Reproducible | 20 |
| 2 | Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis | 9 |
| 3 | Oríon : Experiment Version Control for Efficient Hyperparameter Optimization | 1 |
| 4 | 263 |
About Xavier Bouthillier
Xavier Bouthillier is a scholar working on Health Informatics, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 293 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Emotion and Mood Recognition (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (154 citations), Computer Vision and Pattern Recognition (149 citations) and Signal Processing (48 citations). Xavier Bouthillier has collaborated with scholars based in Canada, India and Germany. Frequent co-authors include Pascal Vincent, Pascal Lamblin, Samira Ebrahimi Kahou, Aaron Courville, Yann Dauphin, Yoshua Bengio, Christopher Pal, Roland Memisevic, David Warde-Farley and Çaǧlar Gülçehre. Their work appears in journals such as Journal on Multimodal User Interfaces, Neural Information Processing Systems and International Conference on Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.