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@dtak

Data to Actionable Knowledge (DtAK) Lab

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  1. tree-regularization-public tree-regularization-public Public

    Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"

    Python 78 21

  2. rrr rrr Public

    Code/figures in Right for the Right Reasons

    Jupyter Notebook 55 11

  3. adversarial-robustness-public 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"

    Jupyter Notebook 55 14

  4. mbrl-smdp-ode mbrl-smdp-ode Public

    PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020

    Python 39 5

  5. ocbnn-public ocbnn-public Public

    General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

    Python 38 5

  6. hip-mdp-public hip-mdp-public Public

    Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

    Python 32 11

Repositories

Showing 10 of 44 repositories
  • cpd Public

    change point detection

    Python 0 0 0 0 Updated Mar 19, 2025
  • JavaScript 0 MIT 0 0 0 Updated Nov 19, 2024
  • 0 MIT 0 0 0 Updated Aug 4, 2024
  • rethinking_discount_reg_public Public

    Simulations for the paper: "Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning"

    Jupyter Notebook 1 0 0 0 Updated Jun 18, 2024
  • Jupyter Notebook 0 MIT 0 0 0 Updated Jul 26, 2023
  • kernel_mismatch_workshop Public

    Code for Implications of Gaussian process kernel mismatch for out-of-distribution data (ICML 2023 workshops)

    0 MIT 0 0 0 Updated Jun 30, 2023
  • anchor-box Public

    This repository contains the code for out work, Guarantee Regions for Local Explanations

    Python 0 MIT 0 0 0 Updated Jan 31, 2023
  • 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"

    Jupyter Notebook 55 MIT 14 3 1 Updated Dec 4, 2022
  • addressing-leakage Public

    Code for the paper 'Addressing leakage in Concept Bottleneck Models'

    Python 8 MIT 2 1 0 Updated Oct 11, 2022
  • optimal-summaries-public Public

    Code repository for the MLHC 2022 paper "Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models"

    Jupyter Notebook 4 1 0 0 Updated Jul 27, 2022

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