Aladin Virmaux

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention	2024	Romain Ilbert Ambroise Odonnat Vasilii Feofanov Aladin Virmaux Giuseppe Paolo Themis Palpanas Ievgen Redko
+	Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption	2023	Vasilii Feofanov Malik Tiomoko Aladin Virmaux
+	Knothe-Rosenblatt transport for Unsupervised Domain Adaptation.	2021	Aladin Virmaux Illyyne Saffar Jianfeng Zhang Balázs Kégl
+ PDF Chat	Ego-Based Entropy Measures for Structural Representations on Graphs	2021	George Dasoulas Giannis Nikolentzos Kevin G. Seaman Aladin Virmaux Michalis Vazirgiannis
+	Ego-based Entropy Measures for Structural Representations on Graphs.	2021	George Dasoulas Giannis Nikolentzos Kevin Scaman Aladin Virmaux Michalis Vazirgiannis
+	Improving Hierarchical Adversarial Robustness of Deep Neural Networks	2021	Avery Ma Aladin Virmaux Kevin Scaman Juwei Lu
+	Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks	2021	George Dasoulas Kevin Scaman Aladin Virmaux
+	Knothe-Rosenblatt transport for Unsupervised Domain Adaptation	2021	Aladin Virmaux Illyyne Saffar Jianfeng Zhang Balázs Kégl
+	Ego-based Entropy Measures for Structural Representations on Graphs	2021	George Dasoulas Giannis Nikolentzos Kevin Scaman Aladin Virmaux Michalis Vazirgiannis
+	Coloring Graph Neural Networks for Node Disambiguation	2020	George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux
+	Ego-based Entropy Measures for Structural Representations	2020	George Dasoulas Giannis Nikolentzos Kevin Scaman Aladin Virmaux Michalis Vazirgiannis
+	Coloring graph neural networks for node disambiguation	2019	George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux
+	Lipschitz regularity of deep neural networks: analysis and efficient estimation	2018	Kevin Scaman Aladin Virmaux
+ PDF Chat	Non-commutative Frobenius characteristic of generalized parking functions : Application to enumeration	2015	Jean-Baptiste Priez Aladin Virmaux
+	Non-commutative Frobenius characteristic of generalized parking functions -- Application to enumeration	2014	Jean-Baptiste Priez Aladin Virmaux

Common Coauthors

Coauthor	Papers Together
Kevin Scaman	8
George Dasoulas	7
Giannis Nikolentzos	4
Michalis Vazirgiannis	3
Vasilii Feofanov	2
Jean-Baptiste Priez	2
Ludovic Dos Santos	2
Jianfeng Zhang	2
Balázs Kégl	2
Romain Ilbert	1
Juwei Lu	1
Malik Tiomoko	1
Avery Ma	1
Illyyne Saffar	1
Illyyne Saffar	1
Kevin G. Seaman	1
Ievgen Redko	1
Giuseppe Paolo	1
Themis Palpanas	1
Michalis Vazirgiannis	1
Ambroise Odonnat	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	5
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	4
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	4
+	Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications	2018	Pin‐Yu Chen Lingfei Wu Sijia Liu Indika Rajapakse	3
+ PDF Chat	On the von Neumann entropy of graphs	2018	Giorgia Minello Luca Rossi Andrea Torsello	3
+	Coloring Graph Neural Networks for Node Disambiguation	2020	George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux	3
+ PDF Chat	Shannon and von Neumann entropy of random networks with heterogeneous expected degree	2011	Kartik Anand Ginestra Bianconi Simone Severini	3
+	Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations	2018	Hayoung Choi Jinglian He Hang Hu Yuanming Shi	3
+	Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification	2019	Ting Chen Song Bian Yizhou Sun	3
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	3
+	PairNorm: Tackling Oversmoothing in GNNs	2020	Lingxiao Zhao Leman Akoglu	3
+ PDF Chat	A sharp continuity estimate for the von Neumann entropy	2007	Koenraad M. R. Audenaert	3
+ PDF Chat	Learning Structural Node Embeddings via Diffusion Wavelets	2018	Claire Donnat Marinka Žitnik David Hallac Jure Leskovec	3
+ PDF Chat	The Laplacian of a Graph as a Density Matrix: A Basic Combinatorial Approach to Separability of Mixed States	2006	Samuel L. Braunstein Sibasish Ghosh Simone Severini	3
+ PDF Chat	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+ PDF Chat	k-hop graph neural networks	2020	Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	2
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	2
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	2
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+ PDF Chat	Image-Based Recommendations on Styles and Substitutes	2015	Julian McAuley Christopher Targett Qinfeng Shi Anton van den Hengel	1
+	Optimal Transport for Applied Mathematicians : Calculus of Variations, PDEs, and Modeling	2015	Filippo Santambrogio	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+ PDF Chat	The $(1-\mathbb{E})$ -transform in combinatorial Hopf algebras	2010	Florent Hivert Jean-Gabriel Luque Jean-Christophe Novelli Jean-Yves Thibon	1
+	Diffusion-Convolutional Neural Networks	2015	James Atwood Don Towsley	1
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Pixel Recurrent Neural Networks	2016	Aäron van den Oord Nal Kalchbrenner Koray Kavukcuoglu	1
+ PDF Chat	A Polytope Related to Empirical Distributions, Plane Trees, Parking Functions, and the Associahedron	2002	Richard P. Stanley Jim Pitman	1
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	1
+	The (1-E)-transform in combinatorial Hopf algebras	2009	Florent Hivert	1
+ PDF Chat	Contributions to the theory of convex bodies.	1957	Herbert Knothe	1
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+	Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation	1987	Andreas Griewank Andrea Walther	1
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	1
+ PDF Chat	Deep Metric Learning with Hierarchical Triplet Loss	2018	Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott	1
+	Polynomial algorithms for graph isomorphism and chromatic index on partial k-trees	1990	Hans L. Bodlaender	1
+	Isomorphism of graphs of bounded valence can be tested in polynomial time	1982	Eugene M. Luks	1
+	Graph Capsule Convolutional Neural Networks	2018	Saurabh Verma Zhili Zhang	1
+	Anonymous Walk Embeddings	2018	Sergey Ivanov Evgeny Burnaev	1
+	Invariant and Equivariant Graph Networks	2018	Haggai Maron Heli Ben-Hamu Nadav Shamir Yaron Lipman	1
+	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design	2019	Jonathan Ho Xi Chen Aravind Srinivas Yan Duan Pieter Abbeel	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	Conditional Adversarial Domain Adaptation	2017	Mingsheng Long Zhangjie Cao Jianmin Wang Michael I. Jordan	1
+	On Differentiating Eigenvalues and Eigenvectors	1985	Jan R. Magnus	1
+	Gonc̆arov polynomials and parking functions	2003	Joseph P. S. Kung Catherine H. Yan	1