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Explaining Groups of Points in Low-Dimensional Representations

Explaining Groups of Points in Low-Dimensional Representations

3 March 2020
Gregory Plumb
Jonathan Terhorst
S. Sankararaman
Ameet Talwalkar
ArXivPDFHTML

Papers citing "Explaining Groups of Points in Low-Dimensional Representations"

6 / 6 papers shown
Title
Distributional Counterfactual Explanations With Optimal Transport
Distributional Counterfactual Explanations With Optimal Transport
Lei You
Lele Cao
Mattias Nilsson
Bo Zhao
Lei Lei
OT
OffRL
30
1
0
23 Jan 2024
GLOBE-CE: A Translation-Based Approach for Global Counterfactual
  Explanations
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
51
16
0
26 May 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case,
  Algorithm and User Study for Group-Counterfactuals
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
Global Counterfactual Explanations: Investigations, Implementations and
  Improvements
Global Counterfactual Explanations: Investigations, Implementations and Improvements
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
66
12
0
14 Apr 2022
XOmiVAE: an interpretable deep learning model for cancer classification
  using high-dimensional omics data
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
Eloise Withnell
Xiaoyu Zhang
Kai Sun
Yike Guo
22
64
0
26 May 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Valerie Chen
Jeffrey Li
Joon Sik Kim
Gregory Plumb
Ameet Talwalkar
32
29
0
10 Mar 2021
1