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Guy Wolf

Department of Mathematics & Statistics, Université de Montréal, Montréal, QC, Canada, Mila - Quebec AI Institute, Montréal, QC, Canada

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data


Nov 19, 2021
Michal Gerasimiuk, Dennis Shung, Alexander Tong, Adrian Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy


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Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees


Nov 07, 2021
Guy Wolf, Gil Shabat, Hanan Shteingart

* Talk accepted to Causal Data Science Meeting, 2021 

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Towards a Taxonomy of Graph Learning Datasets


Oct 27, 2021
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

* in Data-Centric AI Workshop at NeurIPS 2021 

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Hierarchical graph neural nets can capture long-range interactions


Aug 15, 2021
Ladislav Rampášek, Guy Wolf


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Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance


Jul 26, 2021
Alexander Tong, Guillaume Huguet, Dennis Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

* 17 pages, 7 figures, 2 tables 

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Parametric Scattering Networks


Jul 20, 2021
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf

* 6 pages, 4 tables, 2 figures 

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Diffusion Earth Mover's Distance and Distribution Embeddings


Feb 25, 2021
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, Smita Krishnaswamy

* 12 pages, 6 figures, 11 page supplement 

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Multimodal data visualization, denoising and clustering with integrated diffusion


Feb 12, 2021
Manik Kuchroo, Abhinav Godavarthi, Guy Wolf, Smita Krishnaswamy


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Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs


Jan 31, 2021
Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy


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Geometric Scattering Attention Networks


Oct 28, 2020
Yimeng Min, Frederik Wenkel, Guy Wolf


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Data-Driven Learning of Geometric Scattering Networks


Oct 06, 2020
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf

* 9 pages, 3 figures, 3 tables 

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Extendable and invertible manifold learning with geometry regularized autoencoders


Jul 14, 2020
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon

* 18 pages, 6 figures 

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Advantages of biologically-inspired adaptive neural activation in RNNs during learning


Jun 22, 2020
Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf, Guillaume Lajoie


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Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings


Jun 16, 2020
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy


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Supervised Visualization for Data Exploration


Jun 15, 2020
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon

* 21 pages, 9 figures 

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Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence


Jun 14, 2020
Bastian Rieck, Tristan Yates, Christian Bock, Karsten Borgwardt, Guy Wolf, Nicholas Turk-Browne, Smita Krishnaswamy


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Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks


Mar 18, 2020
Yimeng Min, Frederik Wenkel, Guy Wolf


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Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming


Feb 17, 2020
Mostafa ElAraby, Guy Wolf, Margarida Carvalho

* 10 pages, 3 figures, 2 tables, under review 

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TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics


Feb 09, 2020
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy

* 8 pages, 8 figures, submitted to ICML 

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Internal representation dynamics and geometry in recurrent neural networks


Jan 14, 2020
Stefan Horoi, Guillaume Lajoie, Guy Wolf

* Presented as a poster at MAIS 2019: the Montreal AI Symposium, Montreal, Quebec, Canada, 2019 

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Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms


Nov 14, 2019
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn


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Coarse Graining of Data via Inhomogeneous Diffusion Condensation


Jul 10, 2019
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colon-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy

* 14 pages, 7 figures 

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Visualizing High Dimensional Dynamical Processes


Jun 25, 2019
Andrés F. Duque, Guy Wolf, Kevin R. Moon

* 7 pages, 3 figures 

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A Lipschitz-constrained anomaly discriminator framework


May 26, 2019
Alexander Tong, Guy Wolf, Smita Krishnaswamy


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Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds


May 24, 2019
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn


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Compressed Diffusion


Jan 31, 2019
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin Moon, Guy Wolf, Smita Krishnaswamy

* 4 pages double column, submitted to SampTA 2019, appendix included for proofs 

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Finding Archetypal Spaces for Data Using Neural Networks


Jan 25, 2019
David van Dijk, Daniel Burkhardt, Matthew Amodio, Alex Tong, Guy Wolf, Smita Krishnaswamy

* 8 pages, 11 figures, submitted to ICML2019 

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