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High Fidelity Visualization of What Your Self-Supervised Representation Knows About


Dec 16, 2021
Florian Bordes, Randall Balestriero, Pascal Vincent


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Learning in High Dimension Always Amounts to Extrapolation


Oct 29, 2021
Randall Balestriero, Jerome Pesenti, Yann LeCun


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MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining


Oct 18, 2021
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

* 13 pages, 14 pages Appendix, 23 figures 

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NeuroView: Explainable Deep Network Decision Making


Oct 15, 2021
CJ Barberan, Randall Balestriero, Richard G. Baraniuk

* 12 pages, 7 figures 

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Fast Jacobian-Vector Product for Deep Networks


Apr 01, 2021
Randall Balestriero, Richard Baraniuk


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Max-Affine Spline Insights Into Deep Network Pruning


Jan 07, 2021
Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard Baraniuk


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Interpretable Image Clustering via Diffeomorphism-Aware K-Means


Dec 16, 2020
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan Sengupta, Richard Baraniuk, Behnaam Aazhang


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Sparse Multi-Family Deep Scattering Network


Dec 14, 2020
Romain Cosentino, Randall Balestriero

* arXiv admin note: substantial text overlap with arXiv:1712.09117 

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Scalable Neural Tangent Kernel of Recurrent Architectures


Dec 09, 2020
Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard Baraniuk


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Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels


Oct 27, 2020
Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk


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Provable Finite Data Generalization with Group Autoencoder


Sep 20, 2020
Romain Cosentino, Randall Balestriero, Richard Baraniuk, Behnaam Aazhang


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Ensembles of Generative Adversarial Networks for Disconnected Data


Jun 25, 2020
Lorenzo Luzi, Randall Balestriero, Richard G. Baraniuk


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The Recurrent Neural Tangent Kernel


Jun 18, 2020
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard Baraniuk


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Analytical Probability Distributions and EM-Learning for Deep Generative Networks


Jun 17, 2020
Randall Balestriero, Sebastien Paris, Richard G. Baraniuk


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Interpretable Super-Resolution via a Learned Time-Series Representation


Jun 13, 2020
Randall Balestriero, Herve Glotin, Richard G. Baraniuk


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SymJAX: symbolic CPU/GPU/TPU programming


May 21, 2020
Randall Balestriero


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Max-Affine Spline Insights into Deep Generative Networks


Feb 26, 2020
Randall Balestriero, Sebastien Paris, Richard Baraniuk


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A Hessian Based Complexity Measure for Deep Networks


May 30, 2019
Hamid Javadi, Randall Balestriero, Richard Baraniuk

* 13 pages, 8 figures 

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The Geometry of Deep Networks: Power Diagram Subdivision


May 21, 2019
Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard Baraniuk


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From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference


Oct 22, 2018
Randall Balestriero, Richard G. Baraniuk


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Mad Max: Affine Spline Insights into Deep Learning


Jul 25, 2018
Randall Balestriero, Richard Baraniuk


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Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion


Feb 27, 2018
Randall Balestriero, Herve Glotin, Richard Baraniuk


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Overcomplete Frame Thresholding for Acoustic Scene Analysis


Dec 25, 2017
Romain Cosentino, Randall Balestriero, Richard Baraniuk, Ankit Patel


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Semi-Supervised Learning via New Deep Network Inversion


Nov 12, 2017
Randall Balestriero, Vincent Roger, Herve G. Glotin, Richard G. Baraniuk

* arXiv admin note: substantial text overlap with arXiv:1710.09302 

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Deep Neural Networks


Nov 06, 2017
Randall Balestriero, Richard Baraniuk

* Technical Report 

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Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants


Jul 18, 2017
Randall Balestriero, Herve Glotin


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Multiscale Residual Mixture of PCA: Dynamic Dictionaries for Optimal Basis Learning


Jul 18, 2017
Randall Balestriero

* Draft 

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Neural Decision Trees


Mar 06, 2017
Randall Balestriero

* 11 pages 

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