Pascal Lamblin

10.8k citations
11 papers · 6.2k · 4 hit papers · h-index 9

Impact in

Papers in

Pascal Lamblin

11 papers receiving 6k citations

Pascal Lamblin's Hit Papers

EmoNets: Multimodal deep learning approaches for emotion recognition in video 2015 · 328 citations
3280+6+12Years since publication1k2k3k

Peers

Pascal Lamblin
Comparison fields: 5 of 152
  • Artificial Intelligence 2.3k
  • Computer Vision and Pattern Recognition 1.5k
  • Experimental and Cognitive Psychology 543
  • Signal Processing 242
  • Health Informatics 61
Replace Razvan Pascanu with:
Razvan Pascanu Canada
Ueli Meier Switzerland
Weibo Liu China
BengioYoshua
Edward Z. Yang United States
Sam Gross United States
Mike Schuster Japan
Minh-Thang Luong United States
Kai Yu China
Ming Yang China
Pascal Lamblin relative to Razvan Pascanu Canada Razvan Pascanu's profile →
Citations per field
00.5×1.5×2×2.3×
Razvan Pascanu · 1×
Citations per year

Countries citing papers authored by Pascal Lamblin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pascal Lamblin Line = papers co-authored together Pascal Lamblin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Greedy Layer-Wise Training of Deep Networks
Hit paper breakdown →
20073673
2
Exploring Strategies for Training Deep Neural Networks
Hit paper breakdown →
2009887
3
Theano: A CPU and GPU Math Compiler in Python
Hit paper breakdown →
2010868
4
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Hit paper breakdown →
2015328
5 2013300
6
Theano: Deep Learning on GPUs with Python
2012142
7 202415
8
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
202113
9 202411
10
Learning the 2-D Topology of Images
20078
11
Oríon : Experiment Version Control for Efficient Hyperparameter Optimization
20182

About Pascal Lamblin

Pascal Lamblin is a scholar working on Hardware and Architecture, Artificial Intelligence, Information Systems, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 11 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Software Engineering Research (3 papers), Parallel Computing and Optimization Techniques (2 papers), Emotion and Mood Recognition (2 papers), Topological and Geometric Data Analysis (1 paper), Computational Physics and Python Applications (1 paper), Machine Learning and Data Classification (1 paper) and Digital Image Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (1.5k citations), Experimental and Cognitive Psychology (543 citations), Signal Processing (242 citations) and Health Informatics (61 citations). Pascal Lamblin has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Yoshua Bengio, Hugo Larochelle, Jérôme Louradour, David Warde-Farley, Frédéric Bastien, Olivier Breuleux, James Bergstra, Razvan Pascanu, Joseph P. Turian and Çağlar Gülçehre. Their work appears in journals such as Journal of Machine Learning Research, Journal on Multimodal User Interfaces, ACM International Conference on Multimodal Interaction (ICMI), Proceedings of the Python in Science Conferences and arXiv (Cornell University).

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.

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