Pascal Lamblin
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Computational Physics and Python Applications 2
- Stochastic Gradient Optimization Techniques 2
- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
- Topic Modeling 1
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- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Yoshua Bengio (6 shared papers)Hugo Larochelle (2 shared papers)Dan Popovici (1 shared paper)Jérôme Louradour (1 shared paper)David Warde-Farley (3 shared papers)Olivier Breuleux (3 shared papers)James Bergstra (2 shared papers)Razvan Pascanu (2 shared papers)
- Journals
- Journal of Machine Learning Research (1 paper)Journal on Multimodal User Interfaces (1 paper)Proceedings of the Python in Science Conferences (1 paper)The MIT Press eBooks (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Pascal Lamblin
10 papers receiving 5.5k citations
Pascal Lamblin's Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 2.8k
- Signal Processing 850
- Media Technology 402
- Experimental and Cognitive Psychology 271
Countries citing papers authored by Pascal Lamblin
This map shows the geographic impact of Pascal Lamblin'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 Pascal Lamblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lamblin more than expected).
Fields of papers citing papers by Pascal Lamblin
This network shows the impact of papers produced by Pascal Lamblin. 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 Pascal Lamblin. The network helps show where Pascal Lamblin may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Lamblin, 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 | Greedy Layer-Wise Training of Deep Networks Hit paper breakdown → | 2007 | 3621 |
| 2 | Exploring Strategies for Training Deep Neural Networks Hit paper breakdown → | 2009 | 871 |
| 3 | Theano: A CPU and GPU Math Compiler in Python Hit paper breakdown → | 2010 | 813 |
| 4 | 2015 | 303 | |
| 5 | Theano: Deep Learning on GPUs with Python | 2012 | 143 |
| 6 | 2018 | 26 | |
| 7 | PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair | 2021 | 12 |
| 8 | 2024 | 9 | |
| 9 | Learning the 2-D Topology of Images | 2007 | 8 |
| 10 | Oríon : Experiment Version Control for Efficient Hyperparameter Optimization | 2018 | 1 |
About Pascal Lamblin
Pascal Lamblin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Computational Theory and Mathematics and Information Systems, having authored 10 papers that have together received 5.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Computational Physics and Python Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Adversarial Robustness in Machine Learning (1 paper), Fuel Cells and Related Materials (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (2.8k citations), Signal Processing (850 citations), Media Technology (402 citations) and Experimental and Cognitive Psychology (271 citations). Pascal Lamblin has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Yoshua Bengio, Hugo Larochelle, Dan Popovici, Jérôme Louradour, David Warde-Farley, Olivier Breuleux, James Bergstra, Razvan Pascanu, Frédéric Bastien and Guillaume Desjardins. Their work appears in journals such as Journal of Machine Learning Research, Journal on Multimodal User Interfaces, Proceedings of the Python in Science Conferences, The MIT Press eBooks and Neural Information Processing Systems.
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.