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Smita Krishnaswamy

Yale University

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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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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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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Image-to-image Mapping with Many Domains by Sparse Attribute Transfer


Jun 23, 2020
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio


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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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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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Making Logic Learnable With Neural Networks


Feb 18, 2020
Tobias Brudermueller, Dennis L. Shung, Loren Laine, Adrian J. Stanley, Stig B. Laursen, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Johannes Stegmaier, Smita Krishnaswamy


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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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Visualizing the PHATE of Neural Networks


Aug 07, 2019
Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne


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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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A Lipschitz-constrained anomaly discriminator framework


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


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TraVeLGAN: Image-to-image Translation by Transformation Vector Learning


Feb 25, 2019
Matthew Amodio, Smita Krishnaswamy


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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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Generating and Aligning from Data Geometries with Generative Adversarial Networks


Jan 24, 2019
Matthew Amodio, Smita Krishnaswamy


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Graph Spectral Regularization for Neural Network Interpretability


Oct 02, 2018
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy

* fixed typos 

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Manifold Alignment with Feature Correspondence


Sep 30, 2018
Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy

* 13 Pages, 4 figures, first submission 

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Modeling Dynamics of Biological Systems with Deep Generative Neural Networks


Sep 28, 2018
David van Dijk, Scott Gigante, Kevin Moon, Alexander Strzalkowski, Katie Ferguson, Jess Cardin, Guy Wolf, Smita Krishnaswamy


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Geometry-Based Data Generation


Sep 06, 2018
Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy


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MAGAN: Aligning Biological Manifolds


Feb 10, 2018
Matthew Amodio, Smita Krishnaswamy


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