Data to Actionable Knowledge (DtAK) Lab
Popular repositories Loading
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tree-regularization-public
tree-regularization-public PublicCode for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
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adversarial-robustness-public
adversarial-robustness-public PublicCode for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
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mbrl-smdp-ode
mbrl-smdp-ode PublicPyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
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ocbnn-public
ocbnn-public PublicGeneral purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
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hip-mdp-public
hip-mdp-public PublicCode for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
Repositories
- dtak.github.io Public
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- rethinking_discount_reg_public Public
Simulations for the paper: "Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning"
- signature-activation Public
- kernel_mismatch_workshop Public
Code for Implications of Gaussian process kernel mismatch for out-of-distribution data (ICML 2023 workshops)
- anchor-box Public
This repository contains the code for out work, Guarantee Regions for Local Explanations
- adversarial-robustness-public Public
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
- optimal-summaries-public Public
Code repository for the MLHC 2022 paper "Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models"