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04/16/2023
Explanations of Black-Box Models based on Directional Feature Interactions
As machine learning algorithms are deployed ubiquitously to a variety of...
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02/09/2023
Geometry of Score Based Generative Models
In this work, we look at Score-based generative models (also called diff...
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02/05/2023
Divide and Compose with Score Based Generative Models
While score based generative models, or diffusion models, have found suc...
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10/05/2022
Explanation Uncertainty with Decision Boundary Awareness
Post-hoc explanation methods have become increasingly depended upon for ...
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06/24/2022
Analyzing the Effects of Classifier Lipschitzness on Explainers
Machine learning methods are getting increasingly better at making predi...
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02/01/2022
Deep Layer-wise Networks Have Closed-Form Weights
There is currently a debate within the neuroscience community over the l...
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09/29/2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Estimating Kullback Leibler (KL) divergence from samples of two distribu...
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06/13/2021
Deep Bayesian Unsupervised Lifelong Learning
Lifelong Learning (LL) refers to the ability to continually learn and so...
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06/04/2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
We investigate the HSIC (Hilbert-Schmidt independence criterion) bottlen...
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11/04/2020
Kernel Dependence Network
We propose a greedy strategy to spectrally train a deep network for mult...
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06/15/2020
Layer-wise Learning of Kernel Dependence Networks
We propose a greedy strategy to train a deep network for multi-class cla...
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06/07/2019