Franck Iutzeler
Optimization & Training · 2013–2020
A researcher in the Science corpus: 7 papers; trusts 78 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 95 citations into it; #1,525 of 2,601 by trust here, #1,448 by citations
- Artificial Intelligence — 86 citations into it; #15,997 of 35,345 by trust here, #13,353 by citations
- Computational Mechanics — 70 citations into it; #4,222 of 10,001 by trust here, #2,447 by citations
- Computational Theory and Mathematics — 34 citations into it; #10,688 of 12,182 by trust here, #8,756 by citations
- Mathematical Optimization — 31 citations into it
- Numerical Analysis — 29 citations into it
- Computer Networks and Communications — 28 citations into it; #4,421 of 9,886 by trust here, #3,318 by citations
- Management Science and Operations Research — 20 citations into it
Whom Franck Iutzeler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- R. Tyrrell Rockafellar
- Patrick L. Combettes
- Peter Richtárik
- Heinz H. Bauschke
- Dimitri P. Bertsekas
- Shai Shalev-Shwartz
- Robert Tibshirani
- John N. Tsitsiklis
- Sébastien Bubeck
Who trusts Franck Iutzeler overall
- Anastasia Koloskova
- Angelia Nedić
- Konstantin Mishchenko
- Paul Vanhaesebrouck
- Albert S. Berahas
- Alexander Olshevsky
- Zhimin Peng
- Inci M. Baytas
- Sebastian U. Stich
- Ming Yan
Papers from Franck Iutzeler's perspective
Ordered by how strongly the researchers Franck Iutzeler trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- On the convergence of single-call stochastic extra-gradient methods (2019) — 189 citations
- Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling (2020) — 80 citations
- A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning (2018) — 40 citations
- Distributed Learning with Sparse Communications by Identification (2018) — 8 citations
- Asynchronous Distributed Learning with Sparse Communications and Identification (2018) — 19 citations
- A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization (2014) — 134 citations
- Asynchronous distributed optimization using a randomized alternating direction method of multipliers (2013) — 186 citations