Hojjat Rakhshani

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All published works

Action	Title	Year	Authors
+ PDF Chat	On the performance of deep learning for numerical optimization: An application to protein structure prediction	2021	Hojjat Rakhshani Lhassane Idoumghar Soheila Ghambari Julien Lepagnot Mathieu Brévilliers
+	On the performance of deep learning for numerical optimization: an application to protein structure prediction	2020	Hojjat Rakhshani Lhassane Idoumghar Soheila Ghambari Julien Lepagnot Mathieu Brévilliers
+ PDF Chat	From Feature Selection to Continuous Optimization	2020	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers
+	On the performance of deep learning for numerical optimization: an application to protein structure prediction	2020	Hojjat Rakhshani Lhassane Idoumghar Soheila Ghambari Julien Lepagnot Mathieu Brévilliers
+	From feature selection to continuous optimization	2019	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers
+	From feature selection to continuous optimization	2019	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers
+	Automatic hyperparameter selection in Autodock	2018	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers Edward Keedwell
+	Automatic hyperparameter selection in Autodock	2018	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers Edward Keedwell
+	Automatic hyperparameter selection in Autodock	2018	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers Edward Keedwell
+	On normalization of inconsistency indicators in pairwise comparisons	2017	Waldemar W. Koczkodaj Jean-Pierre Magnot Jiří Mazurek James F. Peters Hojjat Rakhshani Michael Soltys Dominik Strzałka Jacek Szybowski Arturo Tozzi
+	On normalization of inconsistency indicators in pairwise comparisons	2017	Waldemar W. Koczkodaj Jean-Pierre Magnot Jiří Mazurek James F. Peters Hojjat Rakhshani Michael Soltys Dominik Strzałka Jacek Szybowski Arturo Tozzi

Common Coauthors

Coauthor	Papers Together
Mathieu Brévilliers	9
Lhassane Idoumghar	9
Julien Lepagnot	9
Soheila Ghambari	3
Edward Keedwell	3
Jiří Mazurek	2
Arturo Tozzi	2
James F. Peters	2
Jean-Pierre Magnot	2
Waldemar W. Koczkodaj	2
Dominik Strzałka	2
Michael Soltys	2
Jacek Szybowski	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Scalable Bayesian Optimization Using Deep Neural Networks	2015	Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros Nadathur Satish Narayanan Sundaram Md. Mostofa Ali Patwary Prabhat Ryan P. Adams	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches.	2018	Md Zahangir Alom Tarek M. Taha Christopher Yakopcic Stefan Westberg Paheding Sidike Mst Shamima Nasrin Brian C. Van Essen Abdul Ahad S. Awwal Vijayan K. Asari	4
+	OptNet: differentiable optimization as a layer in neural networks	2017	Brandon Amos J. Zico Kolter	3
+	Scalable Bayesian Optimization Using Deep Neural Networks	2015	Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros Nadathur Satish Narayanan Sundaram Mostofa Patwary Prabhat Ryan P. Adams	3
+ PDF Chat	Evolutionary Generative Adversarial Networks	2019	Chaoyue Wang Chang Xu Xin Yao Dacheng Tao	2
+	None	1997	Rainer Storn Kenneth V. Price	2
+ PDF Chat	On Axiomatization of Inconsistency Indicators for Pairwise Comparisons	2014	Waldemar W. Koczkodaj Ryszard Szwarc	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Pairwise Comparisons Rating Scale Paradox	2016	Waldemar W. Koczkodaj	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+	Enumerating Unique Computational Graphs via an Iterative Graph Invariant	2019	Chris Ying	2
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	2
+	Efficient Progressive Neural Architecture Search	2018	Juan-Manuel Pérez-Rúa Moez Baccouche Stéphane Pateux	2
+ PDF Chat	Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	2019	Vladimir Nekrasov Hao Chen Chunhua Shen Ian Reid	2
+ PDF Chat	Recent advances in convolutional neural networks	2017	Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy Bing Shuai Ting Liu Xingxing Wang Gang Wang Jianfei Cai	2
+ PDF Chat	Inconsistency indicator maps on groups for pairwise comparisons	2015	Waldemar W. Koczkodaj Jacek Szybowski Eliza Wajch	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets	2016	Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter	2
+	Efficient Architecture Search by Network Transformation	2017	Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang	2
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	2
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	2
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	2
+	Neural Architecture Search: A Survey	2019	Thomas Elsken Jan Hendrik Metzen Frank Hutter	2
+	Auto-GNN: Neural Architecture Search of Graph Neural Networks	2019	Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu	2
+	StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search.	2019	Guilin Li Xing Zhang Zitong Wang Zhenguo Li Tong Zhang	2
+ PDF Chat	Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling	2020	Heung-Chang Lee Do-Guk Kim Bohyung Han	2
+ PDF Chat	From Feature Selection to Continuous Optimization	2020	Hojjat Rakhshani Lhassane Idoumghar Julien Lepagnot Mathieu Brévilliers	2
+ PDF Chat	The Sources of Kolmogorov’s Grundbegriffe	2006	Glenn Shafer Vladimir Vovk	2
+	NAS-FCOS: Fast Neural Architecture Search for Object Detection	2019	Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang	1
+	SNAS: Stochastic Neural Architecture Search	2018	Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin	1
+	Proceedings of the 24th international conference on Machine learning	2007	John Langford Joëlle Pineau	1
+ PDF Chat	NAS-FCOS: Fast Neural Architecture Search for Object Detection	2020	Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang	1
+	Accelerating Neural Architecture Search using Performance Prediction	2018	Bowen Baker Otkrist Gupta Ramesh Raskar Nikhil Naik	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	1
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	1
+	Essentials of topology with applications	2010	Steven G. Krantz	1
+	MATSuMoTo: The MATLAB Surrogate Model Toolbox For Computationally Expensive Black-Box Global Optimization Problems	2014	Juliane Mueller	1
+	Learning to Optimize	2016	Ke Li Jitendra Malik	1
+	Hierarchical Neural Architecture Search via Operator Clustering	2019	Guilin Li Xing Zhang Zitong Wang Matthias Hwai Yong Tan Jiashi Feng Zhenguo Li Tong Zhang	1
+	Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization	2016	Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar	1
+ PDF Chat	Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates	2017	Ilija Ilievski Taimoor Akhtar Jiashi Feng Christine A. Shoemaker	1
+	OptNet: Differentiable Optimization as a Layer in Neural Networks	2017	Brandon Amos J. Zico Kolter	1
+	MATSuMoTo: The MATLAB Surrogate Model Toolbox For Computationally Expensive Black-Box Global Optimization Problems	2015	Juliane Müller	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	Accelerating Neural Architecture Search using Performance Prediction	2017	Bowen Baker Otkrist Gupta Ramesh Raskar Nikhil Naik	1
+	The origins and legacy of Kolmogorov's Grundbegriffe	2018	Glenn Shafer Vladimir Vovk	1
+	Neural Architecture Search with Bayesian Optimisation and Optimal Transport	2018	Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabás Póczos Eric P. Xing	1