Antoine Grigis

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All published works

Action	Title	Year	Authors
+ PDF Chat	Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts	2024	Lisa Hemforth Baptiste Couvy‐Duchesne Kevin de Matos Camille Brianceau Matthieu Joulot Tobias Banaschewski Arun L.W. Bokde Sylvane Desrivières Herta Florg Antoine Grigis
+	Separating common from salient patterns with Contrastive Representation Learning	2024	Robin Louiset Édouard Duchesnay Antoine Grigis Pietro Gori
+	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones	2023	Robin Louiset Édouard Duchesnay Antoine Grigis Benoît Dufumier Pietro Gori
+	Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI	2023	Clément Poiret Antoine Grigis Justin Thomas Marion Noulhiane
+ PDF Chat	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Édouard Duchesnay
+	Bayesian Causal Network Modeling Suggests Adolescent Cannabis Use Promotes Accelerated Prefrontal Cortical Thinning	2021	Max M. Owens Matthew D. Albaugh Nicholas Allgaier Dekang Yuan Guillaume Robert Renata B. Cupertino Philip A. Spechler Anthony Juliano Sage Hahn Tobias Banaschewski
+	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning.	2021	Benoît Dufumier Pietro Gori Ilaria Battaglia Julie Victor Antoine Grigis Édouard Duchesnay
+ PDF Chat	UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning	2021	Robin Louiset Pietro Gori Benoît Dufumier Josselin Houenou Antoine Grigis Édouard Duchesnay
+ PDF Chat	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michèle Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet
+	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Édouard Duchesnay
+	Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michel Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet
+	UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning	2021	Robin Louiset Pietro Gori Benoît Dufumier Josselin Houenou Antoine Grigis Édouard Duchesnay
+	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning	2021	Benoît Dufumier Pietro Gori Ilaria Battaglia Julie Victor Antoine Grigis Édouard Duchesnay
+ PDF Chat	PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing	2020	S. Farrens Antoine Grigis Loubna El Gueddari Zaccharie Ramzi Chaithya G.R. Sophie Starck B. Sarthou H. Cherkaoui Philippe Ciuciu Jean‐Luc Starck
+ PDF Chat	Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment	2020	Nicholas Judd Bruno Sauce John Wiedenhoeft Jeshua Tromp Bader Chaarani Alexander Schliep Betteke Maria van Noort Jani Penttilä Yvonne Grimmer Corinna Insensee
+	A new high order tensor decomposition: Application to reorientation.	2011	Antoine Grigis Félix Renard Vincent Noblet Christian Heinrich Fabrice Heitz Jean‐Paul Armspach
+ PDF Chat	Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors	2010	Antoine Grigis Vincent Noblet Félix Renard Fabrice Heitz Jean‐Paul Armspach L. Rumbach

Common Coauthors

Coauthor	Papers Together
Pietro Gori	10
Édouard Duchesnay	10
Benoît Dufumier	9
Julie Victor	6
Robin Louiset	4
Andreas Heinz	3
Michael N. Smolka	3
Sylvane Desrivières	3
Hugh Garavan	3
Penny Gowland	3
Tobias Banaschewski	3
Günter Schumann	3
Jean‐Luc Martinot	3
Robert Whelan	3
Henrik Walter	3
Marie‐Laure Paillère Martinot	3
Arun L.W. Bokde	3
Luise Poustka	3
Juliane H. Fröhner	3
Tomáš Paus	2
Herta Flor	2
Pauline Favre	2
Jean‐Paul Armspach	2
Ilaria Battaglia	2
Rüdiger Brühl	2
Vincent Noblet	2
Josselin Houenou	2
Paolo Brambilla	2
Camille Piguet	2
Frauke Nees	2
Colm McDonald	2
Erin Burke Quinlan	2
Sabina Millenet	2
Félix Renard	2
Mircea Polosan	2
Dimitri Papadopoulos Orfanos	2
Éric Artiges	2
Fabrice Heitz	2
Matthieu Joulot	1
Hervé Lemaître	1
B. Sarthou	1
Claire Cury	1
Bernd Itterman	1
Christian Heinrich	1
Michèle Wessa	1
Yvonne Grimmer	1
Justin Thomas	1
Lisa Hemforth	1
Kevin de Matos	1
Camille Brianceau	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	3
+	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	2020	Junhao Wen Elina Thibeau–Sutre Mauricio Diaz-Melo Jorge Samper‐Gonzàlez Alexandre Routier Simona Bottani Didier Dormont Stanley Durrleman Ninon Burgos Olivier Colliot	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	2018	Leland McInnes John J. Healy	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Inferring disease subtypes from clusters in explanation space	2020	Marc‐Andre Schulz Matt Chapman-Rounds Manisha Verma Danilo Bzdok Konstantinos Georgatzis	2
+	Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images	2020	Zhijian Yang Junhao Wen Christos Davatzikos	2
+	Debiased Contrastive Learning	2020	Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka	2
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	2
+	Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records	2019	Yanshan Wang Yiqing Zhao Terry M. Therneau Elizabeth J. Atkinson Ahmad P. Tafti Nan Zhang Shreyasee Amin Andrew H. Limper Sundeep Khosla Hongfang Liu	2
+ PDF Chat	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michèle Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet	2
+	Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering	2016	Bo Yang Xiao Fu Nicholas D. Sidiropoulos Mingyi Hong	2
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+ PDF Chat	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases	2020	Junhao Wen Erdem Varol Ganesh B. Chand Aristeidis Sotiras Christos Davatzikos	2
+ PDF Chat	GLIMPSE: accurate 3D weak lensing reconstructions using sparsity	2014	Adrienne Leonard François Lanusse Jean‐Luc Starck	1
+	A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms	2012	Laurent Condat	1
+	Are numbers special?	2005	Roi Cohen Kadosh Avishai Henik Orly Rubinsten Harald M. Mohr Halit Dori Vincent van de Ven Marco Zorzi Talma Hendler Rainer Goebel David E.J. Linden	1
+ PDF Chat	Joint<i>Planck</i>and WMAP CMB map reconstruction	2014	J. Bobin F. Sureau Jean‐Luc Starck A. Rassat P. Paykari	1
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	1
+ PDF Chat	Second-generation PLINK: rising to the challenge of larger and richer datasets	2015	Christopher Chang Carson C. Chow Laurent CAM Tellier Shashaank Vattikuti Shaun Purcell James J. Lee	1
+	Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices	2007	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	1
+ PDF Chat	Short-Term Memory, Working Memory, and Executive Functioning in Preschoolers: Longitudinal Predictors of Mathematical Achievement at Age 7 Years	2008	Rebecca Bull Kimberly Andrews Espy Sandra A. Wiebe	1
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	1
+	Semi-supervised Learning with Deep Generative Models	2014	Diederik P. Kingma Shakir Mohamed Danilo Jimenez Rezende Max Welling	1
+ PDF Chat	The Undecimated Wavelet Decomposition and its Reconstruction	2007	Jean‐Luc Starck Jalal Fadili Fionn Murtagh	1
+ PDF Chat	Brain Activity during a Visuospatial Working Memory Task Predicts Arithmetical Performance 2 Years Later	2011	Iroise Dumontheil Torkel Klingberg	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors	2010	Antoine Grigis Vincent Noblet Félix Renard Fabrice Heitz Jean‐Paul Armspach L. Rumbach	1
+ PDF Chat	The COSMOS Survey: <i>Hubble Space Telescope</i> Advanced Camera for Surveys Observations and Data Processing	2007	Anton M. Koekemoer H. Aussel D. Calzetti P. Capak Mauro Giavalisco Jean‐Paul Kneib Alexie Leauthaud O. Le Fèvre H. J. McCracken R. Massey	1
+	Eigenvalues of a real supersymmetric tensor	2005	Liqun Qi	1
+ PDF Chat	Deep learning for neuroimaging: a validation study	2014	Sergey M. Plis Devon Hjelm Ruslan Salakhutdinov Elena A. Allen H. Jeremy Bockholt Jeffrey D. Long Hans J. Johnson Jane S. Paulsen Jessica A. Turner Vince D. Calhoun	1
+ PDF Chat	COSMOS: <i>Hubble Space Telescope</i> Observations	2007	N. Z. Scoville Roberto Abraham H. Aussel Joshua E. Barnes Andrew Benson A. W. Blain Daniela Calzetti A. Comastri P. Capak C. L. Carilli	1
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	1
+ PDF Chat	Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization	2010	XuanLong Nguyen Martin J. Wainwright Michael I. Jordan	1
+	Recruitment of an Area Involved in Eye Movements During Mental Arithmetic	2009	André Knops Bertrand Thirion Edward M. Hubbard Vincent Michel Stanislas Dehaene	1
+	Reorientation strategies for High Order Tensors	2010	Félix Renard Vincent Noblet Christian Heinrich Stéphane Kremer	1
+ PDF Chat	The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models	2001	Craig K. Enders Deborah L Bandalos	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Network Flow Algorithms for Structured Sparsity	2010	Julien Mairal Rodolphe Jenatton Francis Bach Guillaume Obozinski	1
+	Preliminary Detection of Relations Among Dynamic Processes With Two-Occasion Data	2015	Corinne M. Henk Laura Castro‐Schilo	1
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	1
+ PDF Chat	High resolution weak lensing mass mapping combining shear and flexion	2016	François Lanusse Jean‐Luc Starck Adrienne Leonard S. Pires	1
+ PDF Chat	The Cosmic Evolution Survey (COSMOS): Overview	2007	N. Z. Scoville H. Aussel M. Brusa P. Capak C. M. Carollo M. Elvis Mauro Giavalisco L. Guzzo G. Hasinger C. D. Impey	1
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	1
+	Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation	2011	Masashi Sugiyama Taiji Suzuki Takafumi Kanamori	1