Frédéric Bastien
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- Generative Adversarial Networks and Image Synthesis 1
- Artificial Intelligence top 5%
- Computational Physics and Python Applications 3
- Machine Learning and Data Classification 2
- Signal Processing top 5%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 3
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- Canadian Identity and History 2
- Military, Security, and Education Studies 1
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- Legal Systems and Institutions 1
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- Numerical Methods and Algorithms 1
- Co-authors
- Yoshua BengioRazvan PascanuJames BergstraDavid Warde-FarleyOlivier BreuleuxGuillaume DesjardinsPascal LamblinJoseph Turian
- Journals
- Études internationales (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Proceedings of the Python in Science Conferences (1 paper)
In The Last Decade
Frédéric Bastien
8 papers receiving 843 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 349
- Artificial Intelligence 436
- Signal Processing 144
- Hardware and Architecture 46
- Biophysics 22
Countries citing papers authored by Frédéric Bastien
This map shows the geographic impact of Frédéric Bastien'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 Frédéric Bastien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Bastien more than expected).
Fields of papers citing papers by Frédéric Bastien
This network shows the impact of papers produced by Frédéric Bastien. 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 Frédéric Bastien. The network helps show where Frédéric Bastien may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Bastien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Oríon : Experiment Version Control for Efficient Hyperparameter Optimization | 2018 | 1 |
| 2 | 2015 | 5 | |
| 3 | Theano: Deep Learning on GPUs with Python | 2012 | 125 |
| 4 | Deep Learners Benefit More from Out-of-Distribution Examples | 2011 | 52 |
| 5 | A Common GPU n-Dimensional Array for Python and C | 2011 | 1 |
| 6 | Theano: A CPU and GPU Math Compiler in Pythonbreakdown → | 2010 | 686 |
| 7 | 2005 | 3 | |
| 8 | Relations particulières : la France face au Québec après de Gaulle | 1999 | 12 |
About Frédéric Bastien
Frédéric Bastien is a scholar working on Hardware and Architecture, Urban Studies and Artificial Intelligence, having authored 8 papers that have together received 885 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Computational Physics and Python Applications (3 papers), Canadian Identity and History (2 papers), Machine Learning and Data Classification (2 papers), Military, Security, and Education Studies (1 paper), Legal Systems and Institutions (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Artificial Intelligence (436 citations) and Signal Processing (144 citations). Frédéric Bastien has collaborated with scholars based in Canada, France and India. Frequent co-authors include Yoshua Bengio, Razvan Pascanu, James Bergstra, David Warde-Farley, Olivier Breuleux, Guillaume Desjardins, Pascal Lamblin, Joseph Turian, Arnaud Bergeron and Olivier Delalleau. Their work appears in journals such as Études internationales, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the Python in Science Conferences.
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.