33 citations · 55 across the 5 of their papers we have counts for
5 papers
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations
Rachana Balasubramanian, Samuel Sharpe, Brian Barr +2
In the environment of fair lending laws and the General Data Protection Regulation (GDPR), the ability to explain a model's prediction is of paramount importance. High quality expl…
Machine Learning for Temporal Data in Finance: Challenges and Opportunities
Jason Wittenbach, Brian d'Alessandro, C. Bayan Bruss
Temporal data are ubiquitous in the financial services (FS) industry -- traditional data like economic indicators, operational data such as bank account transactions, and modern da…
Towards Ground Truth Explainability on Tabular Data
Brian Barr, Ke Xu, Claudio Silva +4
In data science, there is a long history of using synthetic data for method development, feature selection and feature engineering. Our current interest in synthetic data comes fro…
Temperature manipulation in songbird brain implicates the premotor nucleus HVC in birdsong syntax
Yisi Zhang, Jason D. Wittenbach, Dezhe Z. Jin +1
Behavioral sequences of animals are often structured and can be described by probabilistic rules (or "action syntax"). The patterns of vocal elements in birdsong are a prime exampl…
An adapting auditory-motor feedback loop can contribute to generating vocal repetition
Jason Wittenbach, Kristofer E. Bouchard, Michael S. Brainard +1
Consecutive repetition of actions is common in behavioral sequences. Although integration of sensory feedback with internal motor programs is important for sequence generation, if…