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Papers and Articles

Mar 2021: XBI app announced

Supercharge your business intelligence with automated, explainable ML

Mar 2021: Borealis AI interview 

Borealis AI interview with CEO Prasad Chalasani on Explainable ML research and products aimed at business analysts

Nov 2020: API announcement

Introducing XaiPient’s API for Model-Explanations

July 2020: (ICML)  Explainability and adversarial learning

Concise Explanations of Neural Networks using Adversarial Training

July 2020: (ICML) Causality from Event Sequences

CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

July 2020: (ICML) Differential Privacy in Graphical Models

Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models 

2019: Intro to Explainability in Deep Neural Networks

Explainability in Deep Neural Networks, Parts 1-4

Dec 2019: Robustness and Explainability

Robust Attribution Regularization (NeurIPS 2019)

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